finish_task_run
Finish a local run ledger entry as completed, failed, or cancelled. Supports idempotent lookup by key.
This record as markdown: /tools/todos/finish-task-run.md
What finish_task_run does on Todos
AI agents use finish_task_run to create or update resources in Todos, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todos environment.
Why finish_task_run is rated Medium
This tool updates/modifies the state of an existing task run record (marking it completed, failed, or cancelled). It is a state-change write operation on a ledger entry. It is reversible in principle (state could be changed again) and does not delete data, execute code, or involve finances. The idempotent lookup by key further confirms it is a controlled write/update operation.
From the tool's definition Finish a local run ledger entry as completed, failed, or cancelled
Attacks that exploit this kind of access
The rule that runs finish_task_run safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For finish_task_run, this is the rule to start with:
finish_task_run stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Todos, apply this rule, and every finish_task_run call is checked against it from then on.
Questions about finish_task_run
Finish a local run ledger entry as completed, failed, or cancelled. Supports idempotent lookup by key. It is categorised as a Write tool in the Todos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Todos MCP server in PolicyLayer and add a rule for finish_task_run: 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.
finish_task_run is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the finish_task_run 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.
Set action: deny in the PolicyLayer policy for finish_task_run. 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.
finish_task_run 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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