Structured root-cause analysis via GPT Codex. Multi-turn: Codex generates hypotheses, tests them against the code and web sources, then delivers a verdict with evidence chain. Can take minutes. Use for hard-to-find bugs, unexpected behavior, or production incidents.
AI agents call codex_debug 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 is a debugging and analysis tool that reads code, consults web sources, and produces investigative output. It does not execute code, modify files, delete data, or commit financial transactions. The multi-turn nature and extended runtime ('can take minutes') reflect complexity of analysis, not capability for side effects. This falls squarely in the Read category as an information retrieval and analysis tool.
From the tool's definition Tool performs 'structured root-cause analysis' and 'generates hypotheses, tests them against the code and web sources, then delivers a verdict with evidence chain.' The description indicates query and analysis of existing code and external sources without…
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
Structured root-cause analysis via GPT Codex. Multi-turn: Codex generates hypotheses, tests them against the code and web sources, then delivers a verdict with evidence chain. Can take minutes. Use for hard-to-find bugs, unexpected behavior, or production incidents. 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_debug: 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_debug 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_debug 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_debug. 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_debug 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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