Medium Risk

submit_feedback

Anonymous bug report / feature request / docs gap, queued for human review. Default routing: public-feedback inbox (general AILANG). Pass package="vendor/name" (e.g. "sunholo/auth") to route to that package's pkg:vendor/name inbox where its autonomous agent watches. Categories: bug, feature, docs...

Risk signalsAccepts raw HTML/template content (body)

Part of the AILANG Parse server.

submit_feedback can modify AILANG Parse 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_feedback to create or modify resources in AILANG Parse. 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_feedback 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 AILANG Parse.

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

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

See the full AILANG Parse policy for all 31 tools.

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

Anonymous bug report / feature request / docs gap, queued for human review. Default routing: public-feedback inbox (general AILANG). Pass package="vendor/name" (e.g. "sunholo/auth") to route to that package's pkg:vendor/name inbox where its autonomous agent watches. Categories: bug, feature, docs, limitation. Body limit 10KB, snippet limit 4KB. Optional contact field for follow-up; opaque to the server. Set auto_dispatch=true to authorize the package agent to act on your submission immediately (default false — files for human triage; pkg-feedback agent template lands in a separate sprint).. It is categorised as a Write tool in the AILANG Parse 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_feedback? +

Register the AILANG Parse MCP server in PolicyLayer and add a rule for submit_feedback: 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 AILANG Parse. Nothing to install.

What risk level is submit_feedback? +

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

Can I rate-limit submit_feedback? +

Yes. Add a rate_limit block to the submit_feedback 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_feedback completely? +

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

submit_feedback is provided by the AILANG Parse MCP server (@ailang/parse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AILANG Parse tool call.

Deterministic rules across all 31 AILANG Parse tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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