todo_finder

Find TODO, FIXME, HACK, NOTE, XXX comments in source code.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/todo-finder.md

What todo_finder does on GadgetHumans API Hub

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

Why todo_finder is rated Low

This tool performs static analysis to locate and retrieve metadata (comments) from source code. It is purely informational with no side effects—it does not execute code, modify files, delete content, or trigger external operations. It falls squarely into the Read category as a retrieval operation.

From the tool's definition The tool 'find[s]' and retrieves TODO, FIXME, HACK, NOTE, XXX comments in source code. The verb 'find' indicates a search/query operation with no modification, deletion, or execution of code.

Questions about todo_finder

What does the todo_finder tool do? +

Find TODO, FIXME, HACK, NOTE, XXX comments in source code. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on todo_finder? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for todo_finder: 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 GadgetHumans API Hub. Nothing to install.

What risk level is todo_finder? +

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

Can I rate-limit todo_finder? +

Yes. Add a rate_limit block to the todo_finder 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 todo_finder completely? +

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

todo_finder is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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