mark_task_done

Mark a task as done (completed)

Server Taskwarrior mcp-server-taskwarrior
Category Write
Risk class Medium
Parameters 00 required

What mark_task_done does on Taskwarrior

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

Why mark_task_done needs a policy

This tool creates or modifies data (task completion state) in a reversible manner. While it changes task status, this action can be undone by unmarking the task as complete. It does not permanently delete data, execute arbitrary code, or trigger financial transactions. Therefore, it fits the Write category.

From the tool's definition Mark a task as done (completed) - modifies task state from incomplete to complete, a reversible change to task status in the taskwarrior database.

Questions about mark_task_done

What does the mark_task_done tool do? +

Mark a task as done (completed). It is categorised as a Write tool in the Taskwarrior MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mark_task_done? +

Register the Taskwarrior MCP server in PolicyLayer and add a rule for mark_task_done: 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 Taskwarrior. Nothing to install.

What risk level is mark_task_done? +

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

Can I rate-limit mark_task_done? +

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

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

mark_task_done is provided by the Taskwarrior MCP server (mcp-server-taskwarrior). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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