update_task

Update an existing task

Server TodoPomo MCP Server pratyayrajak/todopomo-mcp
Category Write
Risk class Medium
Parameters 00 required

What update_task does on TodoPomo MCP Server

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

Why update_task needs a policy

This tool modifies task data (reversibly), fitting the Write category. The severity is medium because task updates in a productivity app have limited blast radius—changes can be undone, and the impact is confined to task state/metadata rather than system-wide or financial consequences. The confidence is high because the intent is clearly stated.

From the tool's definition Tool name is 'update_task' and description states 'Update an existing task', indicating modification of existing data in a reversible manner.

Questions about update_task

What does the update_task tool do? +

Update an existing task. It is categorised as a Write tool in the TodoPomo 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 update_task? +

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

What risk level is update_task? +

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

Can I rate-limit update_task? +

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

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

update_task is provided by the TodoPomo MCP Server MCP server (pratyayrajak/todopomo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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