describe_tools

Get detailed documentation for a specific tool including all parameters and descriptions.

Server Todos @hasna/todos
Category Read
Risk class Low
Parameters 00 required

What describe_tools does on Todos

AI agents call describe_tools to retrieve information from Todos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why describe_tools needs a policy

This tool retrieves and returns documentation/metadata about tools. It has no side effects, does not modify data, execute code, or trigger external operations. It is a simple informational query, making it a Read category tool with low severity.

From the tool's definition Tool name 'describe_tools' and description 'Get detailed documentation for a specific tool including all parameters and descriptions' indicate a retrieval operation that queries tool metadata without modifying or executing anything.

Questions about describe_tools

What does the describe_tools tool do? +

Get detailed documentation for a specific tool including all parameters and descriptions. It is categorised as a Read tool in the Todos MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on describe_tools? +

Register the Todos MCP server in PolicyLayer and add a rule for describe_tools: 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 describe_tools? +

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

Can I rate-limit describe_tools? +

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

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

describe_tools 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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