Medium Risk

submit_feature_request

Submit a feature request or product feedback. Charged at storage rate: ceil_kb(description_length) × 100 credits per KB. Available to trial and active accounts alike.

Part of the AI Cortex Storage server.

submit_feature_request can modify AI Cortex Storage 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_feature_request to create or modify resources in AI Cortex Storage. 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_feature_request 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 AI Cortex Storage.

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

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

See the full AI Cortex Storage policy for all 15 tools.

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

Submit a feature request or product feedback. Charged at storage rate: ceil_kb(description_length) × 100 credits per KB. Available to trial and active accounts alike.. It is categorised as a Write tool in the AI Cortex Storage 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_feature_request? +

Register the AI Cortex Storage MCP server in PolicyLayer and add a rule for submit_feature_request: 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 AI Cortex Storage. Nothing to install.

What risk level is submit_feature_request? +

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

Can I rate-limit submit_feature_request? +

Yes. Add a rate_limit block to the submit_feature_request 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_feature_request completely? +

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

submit_feature_request is provided by the AI Cortex Storage MCP server (https://memory.aic0rt3x.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AI Cortex Storage tool call.

Deterministic rules across all 15 AI Cortex Storage tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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