AI agents call codex_list_jobs to retrieve information from Codex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists job status information without creating, modifying, deleting, or executing any operations. It is a passive read operation that returns existing state.
From the tool's definition Tool name 'codex_list_jobs' and description 'List all Codex jobs (running, completed, failed, killed) currently tracked by this server' indicate a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
List all Codex jobs (running, completed, failed, killed) currently tracked by this server. It is categorised as a Read tool in the Codex MCP Server, which means it retrieves data without modifying state.
Register the Codex MCP server in PolicyLayer and add a rule for codex_list_jobs: 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. Nothing to install.
codex_list_jobs 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_list_jobs 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_list_jobs. 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_list_jobs is provided by the Codex MCP server (pigowenhsiao/codex-mcp-server). 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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