finish_task · Freelo MCP Server MCP: Risk & Policy

WHAT IT DOES

What finish_task does on Freelo MCP Server

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

WHY IT NEEDS A POLICY

Why finish_task needs a policy

Finishing/completing a task modifies task state but is reversible (tasks can typically be reopened or reactivated). This is Write-category behavior—it changes data without permanent destruction. Severity is medium because incorrect task completion could disrupt project workflows, but the action is not irreversible or destructive.

From the tool's definition Tool name 'finish_task' indicates a state-changing operation on a task resource. Based on context of sibling tools (create_task, create_subtask, activate_task), this tool likely marks a task as complete or changes its status, which is a reversible…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

finish_task Rate-limited

finish_task 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "finish_task": {
      "limits": [
        {
          "counter": "finish_task_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Freelo MCP Server, so you can run agents against it safely.

FAQ

Questions about finish_task

What does the finish_task tool do? +

finish_task. It is categorised as a Write tool in the Freelo 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 finish_task? +

Register the Freelo MCP Server MCP server in PolicyLayer and add a rule for finish_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 Freelo MCP Server. Nothing to install.

What risk level is finish_task? +

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

Can I rate-limit finish_task? +

Yes. Add a rate_limit block to the finish_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 finish_task completely? +

Set action: deny in the PolicyLayer policy for finish_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 finish_task? +

finish_task is provided by the Freelo MCP Server MCP server (m-hlpr/freelo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.