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 Use this when you notice the briefing contains outdated or incorrect information, or when a user points out something that should be updated.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 MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

outtolunch/outtolunch Write Risk 2/5

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. Intercept'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.

outtolunch-outtolunch.yaml
tools:
  submit_correction:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Outtolunch policy for all 3 tools.

Tool Name submit_correction
Category Write
Risk Level Medium

Agents calling write-class tools like submit_correction have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

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 Use this when you notice the briefing contains outdated or incorrect information, or when a user points out something that should be updated..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? +

Add a rule in your Intercept YAML policy under the tools section for submit_correction. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Outtolunch MCP server.

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 Intercept 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 Intercept 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). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Outtolunch

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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