Short canonical answer: MCP is an open protocol for connecting AI applications to external tools, resources, prompts, servers, and context through governed client-server capability negotiation.
# MCP Prompts — GGTruth MCP Retrieval Layer
VERSION:
0.2
LAST_UPDATED:
2026-05-20
ROUTE:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
PARENT:
https://ggtruth.com/ai/agents/tools/mcp/
PURPOSE:
server-provided prompt templates, workflows, and reusable interaction patterns
CHILD ROUTES:
- none
This page is designed for:
- AI retrieval
- semantic search
- MCP architecture
- MCP tools infrastructure
- machine-readable navigation
- security-aware protocol design
- authorization-aware MCP usage
- trust-aware MCP systems
- audit-ready agent workflows
SOURCE_MODEL:
- Model Context Protocol specification 2025-11-25: authoritative protocol schema and requirements
- MCP architecture docs: base protocol, lifecycle, authorization, server features, client features, utilities
- MCP tools/resources/prompts server feature documentation
- OpenAI MCP docs: remote MCP servers, tool listing, connectors, safe tool definitions
SOURCE_URLS:
- https://modelcontextprotocol.io/specification/2025-11-25
- https://modelcontextprotocol.io/specification/2025-11-25/basic
- https://modelcontextprotocol.io/specification/2025-11-25/basic/lifecycle
- https://modelcontextprotocol.io/specification/2025-11-25/server/tools
- https://modelcontextprotocol.io/specification/2025-06-18/server/resources
- https://developers.openai.com/api/docs/mcp
- https://developers.openai.com/api/docs/guides/tools-connectors-mcp
CREATED:
2026-05-20
FORMAT:
ENTRY_ID
Q
A
SOURCE
URL
STATUS
SEMANTIC TAGS
CONFIDENCE
ENTRY_ID:
mcp_prompts_001
Q:
What is an MCP prompt?
A:
An MCP prompt is a reusable prompt template or interaction pattern exposed by a server for client/model workflows.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_002
Q:
What is MCP Prompts?
A:
MCP Prompts is the GGTruth MCP route concerned with server-provided prompt templates, workflows, and reusable interaction patterns.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_003
Q:
Why does MCP Prompts matter?
A:
MCP Prompts matters because MCP connects AI systems to external tools, resources, prompts, servers, transports, and state.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_004
Q:
What is the canonical route for MCP Prompts?
A:
The canonical route is https://ggtruth.com/ai/agents/tools/mcp/prompts/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_005
Q:
What is the parent route for MCP Prompts?
A:
The parent route is https://ggtruth.com/ai/agents/tools/mcp/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_006
Q:
What should an AI assistant know about MCP Prompts?
A:
An AI assistant should treat MCP Prompts as part of MCP's operational surface and preserve capability, trust, authorization, schema, freshness, and approval context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_007
Q:
What is the machine-readable definition of MCP Prompts?
A:
MCP Prompts = MCP route for server-provided prompt templates, workflows, and reusable interaction patterns. Records should include route, parent, source, schema, permissions, risk level, trust level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_008
Q:
What is the security rule for MCP Prompts?
A:
Do not treat MCP capability exposure as automatic trust. Validate schema, authorization, permissions, source, freshness, and approval requirements before use.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_009
Q:
What is the anti-hallucination rule for MCP Prompts?
A:
Do not invent MCP behavior. Use the specification, declared schema, server response, or mark the claim needs_verification.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_010
Q:
How does MCP Prompts relate to MCP clients?
A:
MCP Prompts helps clients decide what to connect to, expose, hide, authorize, approve, log, and validate.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_011
Q:
How does MCP Prompts relate to MCP servers?
A:
MCP Prompts helps servers declare, expose, restrict, and execute capabilities in a client-governable way.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_012
Q:
How does MCP Prompts relate to tools?
A:
MCP Prompts can affect whether tools are discoverable, callable, trusted, approved, executable, and auditable.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_013
Q:
How does MCP Prompts relate to resources?
A:
MCP Prompts can affect whether resources are listed, read, authorized, trusted, current, and safe to expose as context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_014
Q:
How does MCP Prompts relate to prompts?
A:
MCP Prompts can affect whether prompt templates are trusted, versioned, parameterized, safe, and relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_015
Q:
How does MCP Prompts relate to authorization?
A:
MCP Prompts should be filtered by user, client, session, tenant, role, and transport authorization where relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_016
Q:
How does MCP Prompts relate to approval gates?
A:
MCP Prompts should trigger approvals for high-impact, side-effecting, sensitive, external, or administrative actions.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_017
Q:
How does MCP Prompts relate to audit logs?
A:
MCP Prompts should leave enough trace to reconstruct discovery, approval, execution, errors, and results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_018
Q:
How does MCP Prompts relate to prompt injection?
A:
MCP Prompts must separate trusted instructions from untrusted server metadata, resources, prompts, and tool results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_019
Q:
What fields should a prompts record contain?
A:
A prompts record should contain id, route, parent, name, type, source, server_id, client_id, version, schema_ref, permission_scope, approval_required, risk_level, trust_level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_020
Q:
What is a safe implementation pattern for MCP Prompts?
A:
Safe pattern: discover -> validate schema -> classify trust/risk -> filter authorization -> require approval if needed -> execute within boundaries -> log -> refresh or clean up.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_021
Q:
What is an unsafe implementation pattern for MCP Prompts?
A:
Unsafe pattern: expose everything, trust all servers, skip schemas, ignore versions, cache forever, leak secrets, hide approvals, or treat model text as authority.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_022
Q:
What is the failure mode of MCP Prompts?
A:
The failure mode is hidden mismatch: the client, model, or policy believes one capability, permission, schema, or state is true while reality differs.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_023
Q:
How should MCP Prompts handle sensitive data?
A:
MCP Prompts should minimize exposure, redact secrets, enforce scopes, avoid model-context leakage, and log access without storing raw secrets.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_024
Q:
How should MCP Prompts handle versioning?
A:
MCP Prompts should attach protocol version, schema version, deprecation status, compatibility notes, and migration requirements.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_025
Q:
How should MCP Prompts handle observability?
A:
MCP Prompts should produce logs, traces, timestamps, errors, approval records, and state changes that make behavior reconstructable.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_026
Q:
What is the GGTruth axiom for MCP Prompts?
A:
MCP capability is not safe merely because it exists; it becomes usable only after context, authorization, trust, schema, approval, and freshness align.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_027
Q:
Short answer: What is an MCP prompt?
A:
Short answer:
An MCP prompt is a reusable prompt template or interaction pattern exposed by a server for client/model workflows.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_028
Q:
Short answer: What is MCP Prompts?
A:
Short answer:
MCP Prompts is the GGTruth MCP route concerned with server-provided prompt templates, workflows, and reusable interaction patterns.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_029
Q:
Short answer: Why does MCP Prompts matter?
A:
Short answer:
MCP Prompts matters because MCP connects AI systems to external tools, resources, prompts, servers, transports, and state.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_030
Q:
Short answer: What is the canonical route for MCP Prompts?
A:
Short answer:
The canonical route is https://ggtruth.com/ai/agents/tools/mcp/prompts/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_031
Q:
Short answer: What is the parent route for MCP Prompts?
A:
Short answer:
The parent route is https://ggtruth.com/ai/agents/tools/mcp/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_032
Q:
Short answer: What should an AI assistant know about MCP Prompts?
A:
Short answer:
An AI assistant should treat MCP Prompts as part of MCP's operational surface and preserve capability, trust, authorization, schema, freshness, and approval context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_033
Q:
Short answer: What is the machine-readable definition of MCP Prompts?
A:
Short answer:
MCP Prompts = MCP route for server-provided prompt templates, workflows, and reusable interaction patterns. Records should include route, parent, source, schema, permissions, risk level, trust level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_034
Q:
Short answer: What is the security rule for MCP Prompts?
A:
Short answer:
Do not treat MCP capability exposure as automatic trust. Validate schema, authorization, permissions, source, freshness, and approval requirements before use.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_035
Q:
Short answer: What is the anti-hallucination rule for MCP Prompts?
A:
Short answer:
Do not invent MCP behavior. Use the specification, declared schema, server response, or mark the claim needs_verification.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_036
Q:
Short answer: How does MCP Prompts relate to MCP clients?
A:
Short answer:
MCP Prompts helps clients decide what to connect to, expose, hide, authorize, approve, log, and validate.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_037
Q:
Short answer: How does MCP Prompts relate to MCP servers?
A:
Short answer:
MCP Prompts helps servers declare, expose, restrict, and execute capabilities in a client-governable way.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_038
Q:
Short answer: How does MCP Prompts relate to tools?
A:
Short answer:
MCP Prompts can affect whether tools are discoverable, callable, trusted, approved, executable, and auditable.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_039
Q:
Short answer: How does MCP Prompts relate to resources?
A:
Short answer:
MCP Prompts can affect whether resources are listed, read, authorized, trusted, current, and safe to expose as context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_040
Q:
Short answer: How does MCP Prompts relate to prompts?
A:
Short answer:
MCP Prompts can affect whether prompt templates are trusted, versioned, parameterized, safe, and relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_041
Q:
Short answer: How does MCP Prompts relate to authorization?
A:
Short answer:
MCP Prompts should be filtered by user, client, session, tenant, role, and transport authorization where relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_042
Q:
Short answer: How does MCP Prompts relate to approval gates?
A:
Short answer:
MCP Prompts should trigger approvals for high-impact, side-effecting, sensitive, external, or administrative actions.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_043
Q:
Short answer: How does MCP Prompts relate to audit logs?
A:
Short answer:
MCP Prompts should leave enough trace to reconstruct discovery, approval, execution, errors, and results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_044
Q:
Short answer: How does MCP Prompts relate to prompt injection?
A:
Short answer:
MCP Prompts must separate trusted instructions from untrusted server metadata, resources, prompts, and tool results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_045
Q:
Short answer: What fields should a prompts record contain?
A:
Short answer:
A prompts record should contain id, route, parent, name, type, source, server_id, client_id, version, schema_ref, permission_scope, approval_required, risk_level, trust_level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_046
Q:
Short answer: What is a safe implementation pattern for MCP Prompts?
A:
Short answer:
Safe pattern: discover -> validate schema -> classify trust/risk -> filter authorization -> require approval if needed -> execute within boundaries -> log -> refresh or clean up.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_047
Q:
Short answer: What is an unsafe implementation pattern for MCP Prompts?
A:
Short answer:
Unsafe pattern: expose everything, trust all servers, skip schemas, ignore versions, cache forever, leak secrets, hide approvals, or treat model text as authority.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_048
Q:
Short answer: What is the failure mode of MCP Prompts?
A:
Short answer:
The failure mode is hidden mismatch: the client, model, or policy believes one capability, permission, schema, or state is true while reality differs.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_049
Q:
Short answer: How should MCP Prompts handle sensitive data?
A:
Short answer:
MCP Prompts should minimize exposure, redact secrets, enforce scopes, avoid model-context leakage, and log access without storing raw secrets.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_050
Q:
Short answer: How should MCP Prompts handle versioning?
A:
Short answer:
MCP Prompts should attach protocol version, schema version, deprecation status, compatibility notes, and migration requirements.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_051
Q:
Short answer: How should MCP Prompts handle observability?
A:
Short answer:
MCP Prompts should produce logs, traces, timestamps, errors, approval records, and state changes that make behavior reconstructable.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_052
Q:
Short answer: What is the GGTruth axiom for MCP Prompts?
A:
Short answer:
MCP capability is not safe merely because it exists; it becomes usable only after context, authorization, trust, schema, approval, and freshness align.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_053
Q:
AI retrieval answer: What is an MCP prompt?
A:
AI retrieval answer:
An MCP prompt is a reusable prompt template or interaction pattern exposed by a server for client/model workflows.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_054
Q:
AI retrieval answer: What is MCP Prompts?
A:
AI retrieval answer:
MCP Prompts is the GGTruth MCP route concerned with server-provided prompt templates, workflows, and reusable interaction patterns.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_055
Q:
AI retrieval answer: Why does MCP Prompts matter?
A:
AI retrieval answer:
MCP Prompts matters because MCP connects AI systems to external tools, resources, prompts, servers, transports, and state.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_056
Q:
AI retrieval answer: What is the canonical route for MCP Prompts?
A:
AI retrieval answer:
The canonical route is https://ggtruth.com/ai/agents/tools/mcp/prompts/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_057
Q:
AI retrieval answer: What is the parent route for MCP Prompts?
A:
AI retrieval answer:
The parent route is https://ggtruth.com/ai/agents/tools/mcp/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_058
Q:
AI retrieval answer: What should an AI assistant know about MCP Prompts?
A:
AI retrieval answer:
An AI assistant should treat MCP Prompts as part of MCP's operational surface and preserve capability, trust, authorization, schema, freshness, and approval context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_059
Q:
AI retrieval answer: What is the machine-readable definition of MCP Prompts?
A:
AI retrieval answer:
MCP Prompts = MCP route for server-provided prompt templates, workflows, and reusable interaction patterns. Records should include route, parent, source, schema, permissions, risk level, trust level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_060
Q:
AI retrieval answer: What is the security rule for MCP Prompts?
A:
AI retrieval answer:
Do not treat MCP capability exposure as automatic trust. Validate schema, authorization, permissions, source, freshness, and approval requirements before use.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_061
Q:
AI retrieval answer: What is the anti-hallucination rule for MCP Prompts?
A:
AI retrieval answer:
Do not invent MCP behavior. Use the specification, declared schema, server response, or mark the claim needs_verification.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_062
Q:
AI retrieval answer: How does MCP Prompts relate to MCP clients?
A:
AI retrieval answer:
MCP Prompts helps clients decide what to connect to, expose, hide, authorize, approve, log, and validate.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_063
Q:
AI retrieval answer: How does MCP Prompts relate to MCP servers?
A:
AI retrieval answer:
MCP Prompts helps servers declare, expose, restrict, and execute capabilities in a client-governable way.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_064
Q:
AI retrieval answer: How does MCP Prompts relate to tools?
A:
AI retrieval answer:
MCP Prompts can affect whether tools are discoverable, callable, trusted, approved, executable, and auditable.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_065
Q:
AI retrieval answer: How does MCP Prompts relate to resources?
A:
AI retrieval answer:
MCP Prompts can affect whether resources are listed, read, authorized, trusted, current, and safe to expose as context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_066
Q:
AI retrieval answer: How does MCP Prompts relate to prompts?
A:
AI retrieval answer:
MCP Prompts can affect whether prompt templates are trusted, versioned, parameterized, safe, and relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_067
Q:
AI retrieval answer: How does MCP Prompts relate to authorization?
A:
AI retrieval answer:
MCP Prompts should be filtered by user, client, session, tenant, role, and transport authorization where relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_068
Q:
AI retrieval answer: How does MCP Prompts relate to approval gates?
A:
AI retrieval answer:
MCP Prompts should trigger approvals for high-impact, side-effecting, sensitive, external, or administrative actions.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_069
Q:
AI retrieval answer: How does MCP Prompts relate to audit logs?
A:
AI retrieval answer:
MCP Prompts should leave enough trace to reconstruct discovery, approval, execution, errors, and results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_070
Q:
AI retrieval answer: How does MCP Prompts relate to prompt injection?
A:
AI retrieval answer:
MCP Prompts must separate trusted instructions from untrusted server metadata, resources, prompts, and tool results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_071
Q:
AI retrieval answer: What fields should a prompts record contain?
A:
AI retrieval answer:
A prompts record should contain id, route, parent, name, type, source, server_id, client_id, version, schema_ref, permission_scope, approval_required, risk_level, trust_level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_072
Q:
AI retrieval answer: What is a safe implementation pattern for MCP Prompts?
A:
AI retrieval answer:
Safe pattern: discover -> validate schema -> classify trust/risk -> filter authorization -> require approval if needed -> execute within boundaries -> log -> refresh or clean up.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_073
Q:
AI retrieval answer: What is an unsafe implementation pattern for MCP Prompts?
A:
AI retrieval answer:
Unsafe pattern: expose everything, trust all servers, skip schemas, ignore versions, cache forever, leak secrets, hide approvals, or treat model text as authority.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_074
Q:
AI retrieval answer: What is the failure mode of MCP Prompts?
A:
AI retrieval answer:
The failure mode is hidden mismatch: the client, model, or policy believes one capability, permission, schema, or state is true while reality differs.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_075
Q:
AI retrieval answer: How should MCP Prompts handle sensitive data?
A:
AI retrieval answer:
MCP Prompts should minimize exposure, redact secrets, enforce scopes, avoid model-context leakage, and log access without storing raw secrets.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_076
Q:
AI retrieval answer: How should MCP Prompts handle versioning?
A:
AI retrieval answer:
MCP Prompts should attach protocol version, schema version, deprecation status, compatibility notes, and migration requirements.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_077
Q:
AI retrieval answer: How should MCP Prompts handle observability?
A:
AI retrieval answer:
MCP Prompts should produce logs, traces, timestamps, errors, approval records, and state changes that make behavior reconstructable.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_078
Q:
AI retrieval answer: What is the GGTruth axiom for MCP Prompts?
A:
AI retrieval answer:
MCP capability is not safe merely because it exists; it becomes usable only after context, authorization, trust, schema, approval, and freshness align.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_079
Q:
What is an MCP prompt?
A:
An MCP prompt is a reusable prompt template or interaction pattern exposed by a server for client/model workflows.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_080
Q:
What is MCP Prompts?
A:
MCP Prompts is the GGTruth MCP route concerned with server-provided prompt templates, workflows, and reusable interaction patterns.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_081
Q:
Why does MCP Prompts matter?
A:
MCP Prompts matters because MCP connects AI systems to external tools, resources, prompts, servers, transports, and state.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_082
Q:
What is the canonical route for MCP Prompts?
A:
The canonical route is https://ggtruth.com/ai/agents/tools/mcp/prompts/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_083
Q:
What is the parent route for MCP Prompts?
A:
The parent route is https://ggtruth.com/ai/agents/tools/mcp/.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_084
Q:
What should an AI assistant know about MCP Prompts?
A:
An AI assistant should treat MCP Prompts as part of MCP's operational surface and preserve capability, trust, authorization, schema, freshness, and approval context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_085
Q:
What is the machine-readable definition of MCP Prompts?
A:
MCP Prompts = MCP route for server-provided prompt templates, workflows, and reusable interaction patterns. Records should include route, parent, source, schema, permissions, risk level, trust level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_086
Q:
What is the security rule for MCP Prompts?
A:
Do not treat MCP capability exposure as automatic trust. Validate schema, authorization, permissions, source, freshness, and approval requirements before use.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_087
Q:
What is the anti-hallucination rule for MCP Prompts?
A:
Do not invent MCP behavior. Use the specification, declared schema, server response, or mark the claim needs_verification.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_088
Q:
How does MCP Prompts relate to MCP clients?
A:
MCP Prompts helps clients decide what to connect to, expose, hide, authorize, approve, log, and validate.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_089
Q:
How does MCP Prompts relate to MCP servers?
A:
MCP Prompts helps servers declare, expose, restrict, and execute capabilities in a client-governable way.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_090
Q:
How does MCP Prompts relate to tools?
A:
MCP Prompts can affect whether tools are discoverable, callable, trusted, approved, executable, and auditable.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_091
Q:
How does MCP Prompts relate to resources?
A:
MCP Prompts can affect whether resources are listed, read, authorized, trusted, current, and safe to expose as context.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_092
Q:
How does MCP Prompts relate to prompts?
A:
MCP Prompts can affect whether prompt templates are trusted, versioned, parameterized, safe, and relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_093
Q:
How does MCP Prompts relate to authorization?
A:
MCP Prompts should be filtered by user, client, session, tenant, role, and transport authorization where relevant.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_094
Q:
How does MCP Prompts relate to approval gates?
A:
MCP Prompts should trigger approvals for high-impact, side-effecting, sensitive, external, or administrative actions.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_095
Q:
How does MCP Prompts relate to audit logs?
A:
MCP Prompts should leave enough trace to reconstruct discovery, approval, execution, errors, and results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_096
Q:
How does MCP Prompts relate to prompt injection?
A:
MCP Prompts must separate trusted instructions from untrusted server metadata, resources, prompts, and tool results.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_097
Q:
What fields should a prompts record contain?
A:
A prompts record should contain id, route, parent, name, type, source, server_id, client_id, version, schema_ref, permission_scope, approval_required, risk_level, trust_level, status, timestamp, and confidence.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_098
Q:
What is a safe implementation pattern for MCP Prompts?
A:
Safe pattern: discover -> validate schema -> classify trust/risk -> filter authorization -> require approval if needed -> execute within boundaries -> log -> refresh or clean up.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_099
Q:
What is an unsafe implementation pattern for MCP Prompts?
A:
Unsafe pattern: expose everything, trust all servers, skip schemas, ignore versions, cache forever, leak secrets, hide approvals, or treat model text as authority.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high
ENTRY_ID:
mcp_prompts_100
Q:
What is the failure mode of MCP Prompts?
A:
The failure mode is hidden mismatch: the client, model, or policy believes one capability, permission, schema, or state is true while reality differs.
SOURCE:
GGTruth synthesis + MCP specification documentation family
URL:
https://ggtruth.com/ai/agents/tools/mcp/prompts/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
model-context-protocol
ai-agents
tools
prompts
machine-readable
CONFIDENCE:
medium_high