High Risk →

ask_chatgpt

ask_chatgpt

How to control ask_chatgpt ↓

AI agents invoke ask_chatgpt to trigger actions in Proxima. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Based on the server description and sibling tools (ask_claude, ask_gemini, ask_perplexity), this tool likely sends a prompt to ChatGPT and returns a response, triggering an external AI operation. This falls under Execute as it triggers an external operation. Confidence is low due to empty description, but the pattern from sibling tools strongly suggests this behavior.

From the tool's definition Tool name 'ask_chatgpt' on a server described as an AI gateway connecting to ChatGPT; description is empty and uninformative.

Documented attack patterns abuse exactly the kind of access ask_chatgpt gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Proxima, and nothing reaches the server without passing your rules. This is the rule we recommend for ask_chatgpt:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ask_chatgpt": {
      "limits": [
        {
          "counter": "ask_chatgpt_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

ask_chatgpt stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Proxima — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the ask_chatgpt tool do? +

ask_chatgpt. It is categorised as a Execute tool in the Proxima MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ask_chatgpt? +

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

What risk level is ask_chatgpt? +

ask_chatgpt is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ask_chatgpt? +

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

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

ask_chatgpt is provided by the Proxima MCP server (zen4-bit/proxima). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Proxima tool call.

Deterministic rules across all 50 Proxima tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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