High Risk →

get_openai_opinion

Get a second opinion from an OpenAI model

How to control get_openai_opinion ↓

AI agents invoke get_openai_opinion to trigger actions in Second Opinion MCP. 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

This tool triggers an external API call to OpenAI's platform, executing a request against a remote AI service. It spans the 'Execute' category as it initiates an external operation whose effects (cost, data sent externally, response) depend on the arguments passed.

From the tool's definition Get a second opinion from an OpenAI model

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

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

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

get_openai_opinion 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 Second Opinion MCP — 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.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the get_openai_opinion tool do? +

Get a second opinion from an OpenAI model. It is categorised as a Execute tool in the Second Opinion MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on get_openai_opinion? +

Register the Second Opinion MCP server in PolicyLayer and add a rule for get_openai_opinion: 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 Second Opinion MCP. Nothing to install.

What risk level is get_openai_opinion? +

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

Can I rate-limit get_openai_opinion? +

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

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

get_openai_opinion is provided by the Second Opinion MCP server (procreations-official/second-opinion). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Second Opinion MCP tool call.

Deterministic rules across all 14 Second Opinion MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

14 Second Opinion MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.