run_doctor
Run local doctor diagnostics and optionally apply safe repairs after dry-run review.
This record as markdown: /tools/todos/run-doctor.md
What run_doctor does on Todos
AI agents invoke run_doctor to trigger actions in Todos. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why run_doctor is rated High
This tool executes diagnostic and repair operations on a local system. While described as 'safe repairs' with 'dry-run review', the tool can still perform modifications to system state based on diagnostic results.
From the tool's definition Tool description states 'Run local doctor diagnostics and optionally apply safe repairs' — the 'apply' keyword indicates execution of repair operations whose effects depend on diagnostic findings and user arguments. 'Run' is a direct execution verb.
Attacks that exploit this kind of access
The rule that runs run_doctor safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_doctor, this is the rule to start with:
run_doctor stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Todos, apply this rule, and every run_doctor call is checked against it from then on.
Questions about run_doctor
Run local doctor diagnostics and optionally apply safe repairs after dry-run review. It is categorised as a Execute tool in the Todos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Todos MCP server in PolicyLayer and add a rule for run_doctor: 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 Todos. Nothing to install.
run_doctor is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_doctor 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 run_doctor. 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.
run_doctor is provided by the Todos MCP server (@hasna/todos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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