Medium Risk

approve_completion

Approve submitted work for a SUBMITTED job. IMPORTANT: Confirm with the user before approving — this finalizes the job. Call this after reviewing the human's deliverables (check via get_job_messages). Moves the job to COMPLETED. After approval, use leave_review to rate the human. If the work need...

Part of the Humanpages server.

approve_completion can modify Humanpages data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use approve_completion to create or modify resources in Humanpages. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call approve_completion repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Humanpages.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "approve_completion": {
      "limits": [
        {
          "counter": "approve_completion_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Humanpages policy for all 40 tools.

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These attack patterns abuse exactly the kind of access approve_completion gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so approve_completion only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the approve_completion tool do? +

Approve submitted work for a SUBMITTED job. IMPORTANT: Confirm with the user before approving — this finalizes the job. Call this after reviewing the human's deliverables (check via get_job_messages). Moves the job to COMPLETED. After approval, use leave_review to rate the human. If the work needs changes, use request_revision instead.. It is categorised as a Write tool in the Humanpages MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on approve_completion? +

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

What risk level is approve_completion? +

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

Can I rate-limit approve_completion? +

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

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

approve_completion is provided by the Humanpages MCP server (humanpages). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Humanpages tool call.

Deterministic rules across all 40 Humanpages tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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