Cancel/stop/abort a currently running AWX job execution. Use this when user asks to
AI agents call awx_job_cancel to permanently remove resources in Pypi:awx — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a running job is an irreversible action — the job execution is terminated and cannot be resumed. This can disrupt ongoing automation workflows, deployments, or configuration management tasks, making it destructive in nature with a high blast radius if misused.
From the tool's definition Cancel/stop/abort a currently running AWX job execution
Documented attack patterns abuse exactly the kind of access awx_job_cancel 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_cancel:
{
"version": "1",
"default": "deny",
"hide": [
"awx_job_cancel"
]
} awx_job_cancel disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Cancel/stop/abort a currently running AWX job execution. Use this when user asks to. It is categorised as a Destructive tool in the Pypi:awx MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Pypi:awx MCP server in PolicyLayer and add a rule for awx_job_cancel: 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_cancel is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the awx_job_cancel 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_cancel. 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_cancel 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.