run_doctor

Run local doctor diagnostics and optionally apply safe repairs after dry-run review.

Server Todos @hasna/todos
Category Execute
Risk class High
Parameters 00 required

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 needs a policy

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.

Questions about run_doctor

What does the run_doctor tool do? +

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.

How do I enforce a policy on run_doctor? +

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.

What risk level is run_doctor? +

run_doctor is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_doctor? +

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.

How do I block run_doctor completely? +

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.

What MCP server provides run_doctor? +

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.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.