Medium Risk

reject_task_review

ESCROW FLOW ONLY. Reject a completed task after reviewing the proof. The task must be in UnderReview status AND settlementMode='escrow'. The operator can contest via dispute. Funds are frozen pending resolution. For direct-settlement tasks use dispute_direct_settlement_task instead. Requires auth...

Risk signalsHandles credentials or secrets (apiKey)

Part of the Molt2Meet server.

reject_task_review can modify Molt2Meet 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 reject_task_review to create or modify resources in Molt2Meet. 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 reject_task_review 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 Molt2Meet.

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

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

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so reject_task_review 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 reject_task_review tool do? +

ESCROW FLOW ONLY. Reject a completed task after reviewing the proof. The task must be in UnderReview status AND settlementMode='escrow'. The operator can contest via dispute. Funds are frozen pending resolution. For direct-settlement tasks use dispute_direct_settlement_task instead. Requires authentication.. It is categorised as a Write tool in the Molt2Meet MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on reject_task_review? +

Register the Molt2Meet MCP server in PolicyLayer and add a rule for reject_task_review: 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 Molt2Meet. Nothing to install.

What risk level is reject_task_review? +

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

Can I rate-limit reject_task_review? +

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

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

reject_task_review is provided by the Molt2Meet MCP server (https://molt.molt2meet.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Molt2Meet tool call.

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