Read prompt, status, and result for one workflow agent.
AI agents call workflow_agent_detail to retrieve information from Codex Workflows MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about a workflow agent's prompt, status, and result. It performs only data retrieval with no ability to modify, delete, or execute operations. Even in the context of a workflow system, reading agent details is a non-destructive, informational action with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name contains 'detail' and description explicitly states 'Read prompt, status, and result' — purely retrieval operations with no modifications or side effects.
Documented attack patterns abuse exactly the kind of access workflow_agent_detail gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Codex Workflows MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for workflow_agent_detail:
{
"version": "1",
"default": "deny",
"tools": {
"workflow_agent_detail": {}
}
}workflow_agent_detail is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Read prompt, status, and result for one workflow agent. It is categorised as a Read tool in the Codex Workflows MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Codex Workflows MCP Server MCP server in PolicyLayer and add a rule for workflow_agent_detail: 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 Workflows MCP Server. Nothing to install.
workflow_agent_detail 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 workflow_agent_detail 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 workflow_agent_detail. 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.
workflow_agent_detail is provided by the Codex Workflows MCP Server MCP server (robzilla1738/codex-workflows). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 10 Codex Workflows MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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10 Codex Workflows MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.