create_todo

create_todo

Server Math MCP Server y-nihat/mcp
Category Write
Risk class Medium
Parameters 00 required

What create_todo does on Math MCP Server

AI agents use create_todo to create or update resources in Math MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Math MCP Server environment.

Why create_todo needs a policy

This tool creates or adds a new todo item to a data structure, which is reversible (todos can be deleted or updated). This is a Write operation—it modifies state by inserting new data. The severity is low because todo management has minimal blast radius; misuse would only affect task lists, not critical systems, financial data, or irreversible deletions.

From the tool's definition Tool name 'create_todo' combined with sibling tools 'update_todo', 'delete_todo', and 'set_todo_tool_enabled' indicates a todo management system. The 'create_' prefix indicates data creation/addition. Description is empty, limiting certainty.

Questions about create_todo

What does the create_todo tool do? +

create_todo. It is categorised as a Write tool in the Math MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_todo? +

Register the Math MCP Server MCP server in PolicyLayer and add a rule for create_todo: 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 Math MCP Server. Nothing to install.

What risk level is create_todo? +

create_todo is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_todo? +

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

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

create_todo is provided by the Math MCP Server MCP server (y-nihat/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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