content_taxonomy

Return the enrichment taxonomy of a content domain — every tag grouped by facet (genre, theme, mood, play-mode…). When to use this tool: an agent needs the controlled vocabulary to filter, classify or query content. Input: a domain.

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Low RISK CLASS
Category Read
Parameters 21 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-taxonomy.md

What content_taxonomy does on Gapup Mcp

AI agents call content_taxonomy 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
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
domain string Yes Content domain

Parameters from the server's own tool schema.

Why content_taxonomy is rated Low

This tool queries and returns a controlled vocabulary taxonomy for a content domain. It has no side effects, does not modify data, and does not execute arbitrary code or trigger external operations. It is a straightforward data retrieval operation, making it a Read risk category with low severity.

From the tool's definition Tool description states 'Return the enrichment taxonomy' and 'every tag grouped by facet' — purely retrieves structured metadata/vocabulary. Input is a domain parameter; no modification, deletion, or code execution occurs.

Risk signalsBulk/mass operation — affects multiple targets

Questions about content_taxonomy

What does the content_taxonomy tool do? +

Return the enrichment taxonomy of a content domain — every tag grouped by facet (genre, theme, mood, play-mode…). When to use this tool: an agent needs the controlled vocabulary to filter, classify or query content. Input: a domain. 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_taxonomy accept? +

content_taxonomy accepts 2 parameters: async, 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_taxonomy? +

Register the Gapup MCP server in PolicyLayer and add a rule for content_taxonomy: 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_taxonomy? +

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

Can I rate-limit content_taxonomy? +

Yes. Add a rate_limit block to the content_taxonomy 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_taxonomy completely? +

Set action: deny in the PolicyLayer policy for content_taxonomy. 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_taxonomy? +

content_taxonomy 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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