content_discovery

Discover content franchises within a domain. Two modes: pass tag for a precise taxonomy match (every game tagged 'co-op'), or pass query for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag...

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Low RISK CLASS
Category Read
Parameters 51 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/content-discovery.md

What content_discovery does on Gapup Mcp

AI agents call content_discovery to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
tag string Tag label to match precisely (e.g. 'thriller', 'co-op'). Mutually exclusive with `query`.
async boolean If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
limit integer Maximum franchises to return (default 25)
query string Free-text intent for semantic search (e.g. 'melancholic synth-pop about heartbreak'). Mutually exclusive with `tag`.
domain string Yes Content domain to search within

Parameters from the server's own tool schema.

Why content_discovery is rated Low

This tool performs a search/discovery operation with no side effects. It queries existing data (content franchises, tags, embeddings) and returns results with confidence scores. No data is created, modified, deleted, or overwritten. No code execution or financial operations occur. This is a pure Read operation, low severity due to limited blast radius if misused (information retrieval only).

From the tool's definition 'Discover content franchises within a domain' — retrieves data via tag matching or semantic search. 'Results are verifiable' and 'carry a similarity score' — returns query results. No create, modify, delete, execute, or financial operations mentioned.

Risk signalsAccepts freeform code/query input (query) · Bulk/mass operation — affects multiple targets

Questions about content_discovery

What does the content_discovery tool do? +

Discover content franchises within a domain. Two modes: pass tag for a precise taxonomy match (every game tagged 'co-op'), or pass query for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does content_discovery accept? +

content_discovery accepts 5 parameters: tag, async, limit, query, domain. Required: domain. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on content_discovery? +

Register the Gapup MCP server in PolicyLayer and add a rule for content_discovery: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Gapup Mcp. Nothing to install.

What risk level is content_discovery? +

content_discovery is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit content_discovery? +

Yes. Add a rate_limit block to the content_discovery rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block content_discovery completely? +

Set action: deny in the PolicyLayer policy for content_discovery. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides content_discovery? +

content_discovery is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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