Send code to GPT Codex for critical review. Codex will look for bugs, security issues, performance problems, and design flaws.
AI agents call codex_review to retrieve information from Codex Bridge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool sends code to an external model for analysis and returns a review. It reads/analyzes input and produces feedback without modifying, executing, or deleting anything. The only concern is data exfiltration (sending code to an external service), which raises severity slightly to medium, but functionally it is a read/query operation.
From the tool's definition 'Send code to GPT Codex for critical review. Codex will look for bugs, security issues, performance problems, and design flaws.'
Attacks that exploit this kind of access
Send code to GPT Codex for critical review. Codex will look for bugs, security issues, performance problems, and design flaws. It is categorised as a Read tool in the Codex Bridge MCP Server, which means it retrieves data without modifying state.
Register the Codex Bridge MCP server in PolicyLayer and add a rule for codex_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 Codex Bridge. Nothing to install.
codex_review is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the codex_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.
Set action: deny in the PolicyLayer policy for codex_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.
codex_review is provided by the Codex Bridge MCP server (ndcorder/claude-codex-team). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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