openai_review

THE RISK

Low Risk

Why openai_review needs a policy

This tool performs a read-only analysis of code changes, providing a review/second opinion. It is non-interactive and does not modify, execute, or delete any data. The worst case misuse is leaking code content to an external AI provider (OpenAI), which is a privacy concern but not destructive or financial in nature.

From the tool's definition 'Code review via Codex review (non-interactive). Reviews uncommitted changes or changes against a base branch.'

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

POLICY

How to control openai_review

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "openai_review": {}
  }
}

openai_review is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Claude Concilium tools

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All 5 Claude Concilium tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about openai_review

What does the openai_review tool do? +

Code review via Codex review (non-interactive). Reviews uncommitted changes or changes against a base branch. It is categorised as a Read tool in the Claude Concilium MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on openai_review? +

Register the Claude Concilium MCP server in PolicyLayer and add a rule for openai_review: 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 Claude Concilium. Nothing to install.

What risk level is openai_review? +

openai_review is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit openai_review? +

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

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

openai_review is provided by the Claude Concilium MCP server (spyrae/claude-concilium). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude Concilium tool call.

Start from Claude Concilium, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →