Medium Risk

submit_suggestion

Submit a platform improvement suggestion or bug report. Help improve frenex and earn bounty rewards for accepted suggestions.

Part of the Frenex Ai server.

submit_suggestion can modify Frenex Ai 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_suggestion to create or modify resources in Frenex Ai. 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_suggestion 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 Frenex Ai.

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

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

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

Submit a platform improvement suggestion or bug report. Help improve frenex and earn bounty rewards for accepted suggestions.. It is categorised as a Write tool in the Frenex Ai 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_suggestion? +

Register the Frenex Ai MCP server in PolicyLayer and add a rule for submit_suggestion: 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 Frenex Ai. Nothing to install.

What risk level is submit_suggestion? +

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

Can I rate-limit submit_suggestion? +

Yes. Add a rate_limit block to the submit_suggestion 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_suggestion completely? +

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

submit_suggestion is provided by the Frenex Ai MCP server (frenexai/frenex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Frenex Ai tool call.

Deterministic rules across all 27 Frenex Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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