content_discovery

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

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-mcp-knowledge/content-discovery.md

WHAT IT DOES

What content_discovery does on Mcp Knowledge

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

Parameter	Type	Required	Description
`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.

RISK

Why content_discovery is rated Low

content_discovery is a retrieval and querying tool. It searches a domain-scoped database for content franchises using either taxonomy tags or semantic vector search. The output includes metadata (confidence scores, similarity scores, freshness) but does not create, modify, delete, or execute any operations.

From the tool's definition Tool performs discovery and search operations: 'Discover content franchises', 'pass tag for a precise taxonomy match', 'free-text SEMANTIC search', 'Results are verifiable'. Returns metadata with similarity scores and freshness indicators.

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs content_discovery safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For content_discovery, this is the rule to start with:

content_discovery Allowed

content_discovery is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "content_discovery": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every content_discovery call is checked against it from then on.

FAQ

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

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