todo_finder
Find TODO, FIXME, HACK, NOTE, XXX comments in source code.
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.
Attacks that exploit this kind of access
The rule that runs todo_finder safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For todo_finder, this is the rule to start with:
todo_finder is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every todo_finder call is checked against it from then on.
Questions about todo_finder
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.
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.
todo_finder 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 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.
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.
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.
More on GadgetHumans API Hub, and thousands of servers like it.
This server
Across the catalogue