Medium Risk

submit_correction

Submit a correction or suggestion to improve the outtolunch briefing. Use this when you notice the briefing contains outdated or incorrect information, or when a user points out something that should be updated.

Part of the Outtolunch server.

submit_correction can modify Outtolunch 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 submit_correction to create or modify resources in Outtolunch. 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 submit_correction 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 Outtolunch.

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

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

See the full Outtolunch policy for all 3 tools.

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These attack patterns abuse exactly the kind of access submit_correction 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 submit_correction 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 submit_correction tool do? +

Submit a correction or suggestion to improve the outtolunch briefing. Use this when you notice the briefing contains outdated or incorrect information, or when a user points out something that should be updated.. It is categorised as a Write tool in the Outtolunch MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on submit_correction? +

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

What risk level is submit_correction? +

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

Can I rate-limit submit_correction? +

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

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

submit_correction is provided by the Outtolunch MCP server (outtolunch/outtolunch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Outtolunch tool call.

Deterministic rules across all 3 Outtolunch tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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