Show/display/view/get the console output, stdout, logs, or terminal output of an AWX job execution. Use this when user asks to
AI agents call awx_job_stdout to retrieve information from Pypi:awx without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays job execution logs and output from AWX. It performs no modifications, deletions, or execution of new operations. Reading logs is a safe diagnostic operation that does not alter system state. Low severity reflects minimal blast radius if misused by an AI agent—logs are informational and typically not sensitive operational data worth protecting at high levels.
From the tool's definition Tool description explicitly states 'Show/display/view/get the console output, stdout, logs, or terminal output of an AWX job execution.' The verbs 'show', 'display', 'view', 'get' are all read-only operations with no side effects.
Documented attack patterns abuse exactly the kind of access awx_job_stdout gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pypi:awx, and nothing reaches the server without passing your rules. This is the rule we recommend for awx_job_stdout:
{
"version": "1",
"default": "deny",
"tools": {
"awx_job_stdout": {}
}
}awx_job_stdout is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Show/display/view/get the console output, stdout, logs, or terminal output of an AWX job execution. Use this when user asks to. It is categorised as a Read tool in the Pypi:awx MCP Server, which means it retrieves data without modifying state.
Register the Pypi:awx MCP server in PolicyLayer and add a rule for awx_job_stdout: 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 Pypi:awx. Nothing to install.
awx_job_stdout 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 awx_job_stdout 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 awx_job_stdout. 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.
awx_job_stdout is provided by the Pypi:awx MCP server (SurgeX-Labs/awx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Pypi:awx, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
50 Pypi:awx tools catalogued and risk-classified — across an index of 43,000+ MCP servers.