Planning-time capability discovery for agents. Call this during autonomous planning when the task may need a reusable skill, MCP config, prompt, script, workflow, or other AI asset. Returns structured candidates, fit signals, and next MCP calls. [[tokrepo.discover-before-build]]
AI agents call tokrepo_discover to retrieve information from TokRepo — AI Asset Registry without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a discovery/search operation during planning, returning structured information about available AI assets (skills, prompts, configs, workflows). It has no side effects — it does not install, execute, or modify anything. Installation is handled by sibling tools like tokrepo_install and tokrepo_codex_install.
From the tool's definition 'Planning-time capability discovery for agents' and 'Returns structured candidates, fit signals, and next MCP calls' — purely retrieves and returns information about available assets without modifying, installing, or executing anything.
Attacks that exploit this kind of access
Planning-time capability discovery for agents. Call this during autonomous planning when the task may need a reusable skill, MCP config, prompt, script, workflow, or other AI asset. Returns structured candidates, fit signals, and next MCP calls. [[tokrepo.discover-before-build]]. It is categorised as a Read tool in the TokRepo — AI Asset Registry MCP Server, which means it retrieves data without modifying state.
Register the TokRepo — AI Asset Registry MCP server in PolicyLayer and add a rule for tokrepo_discover: 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 TokRepo — AI Asset Registry. Nothing to install.
tokrepo_discover is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tokrepo_discover 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.
Set action: deny in the PolicyLayer policy for tokrepo_discover. 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.
tokrepo_discover is provided by the TokRepo — AI Asset Registry MCP server (tokrepo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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