Send a prompt to ChatGPT and return the response.
AI agents invoke ask_chatgpt_tool to trigger actions in ChatGPT MCP Server. 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.
This tool sends arbitrary prompts to an external AI system (ChatGPT desktop app), constituting execution of an external operation. The effects are entirely argument-dependent and could result in a wide range of actions depending on what ChatGPT is instructed to do, especially if ChatGPT itself has tools or plugins enabled.
From the tool's definition "Send a prompt to ChatGPT and return the response" — triggers an external operation (sending input to ChatGPT desktop app) whose effects depend on the prompt arguments
Documented attack patterns abuse exactly the kind of access ask_chatgpt_tool gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ChatGPT MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ask_chatgpt_tool:
{
"version": "1",
"default": "deny",
"tools": {
"ask_chatgpt_tool": {
"limits": [
{
"counter": "ask_chatgpt_tool_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}ask_chatgpt_tool 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.
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Send a prompt to ChatGPT and return the response. It is categorised as a Execute tool in the ChatGPT MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ChatGPT MCP Server MCP server in PolicyLayer and add a rule for ask_chatgpt_tool: 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 ChatGPT MCP Server. Nothing to install.
ask_chatgpt_tool is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ask_chatgpt_tool 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.
Set action: deny in the PolicyLayer policy for ask_chatgpt_tool. 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.
ask_chatgpt_tool is provided by the ChatGPT MCP Server MCP server (xncbf/chatgpt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 ChatGPT MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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3 ChatGPT MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.