awx_job_launch

THE RISK

High Risk

Why awx_job_launch needs a policy

This tool triggers execution of potentially arbitrary Ansible playbooks and automation workflows stored in AWX templates. While the tool itself doesn't directly execute code, it causes AWX to run pre-defined jobs that execute on target systems. An AI agent misusing this could launch unintended deployments, system reconfigurations, credential rotations, or destructive operations depending on the template.

From the tool's definition Tool description states 'Launch/execute/run/start a new AWX job from a template. Creates a new job execution instance.' The verbs 'launch,' 'execute,' 'run,' and 'start' directly indicate code/command execution.

Documented attack patterns abuse exactly the kind of access awx_job_launch gives an agent:

POLICY

How to control awx_job_launch

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_launch:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "awx_job_launch": {
      "limits": [
        {
          "counter": "awx_job_launch_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

awx_job_launch stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Pypi:awx — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Pypi:awx tools

Destructive awx_credential_delete Delete AWX credential Destructive awx_inventory_delete Delete AWX inventory Destructive awx_inventory_group_delete Delete group from AWX inventory Destructive awx_inventory_host_delete Delete host from AWX inventory Destructive awx_job_cancel Cancel/stop/abort a currently running AWX job execution. Use this when user asks to Destructive awx_job_delete Delete/remove an AWX job record from history. Use this when user asks to Destructive awx_project_delete Delete AWX project Destructive awx_template_delete Delete AWX job template

All 50 Pypi:awx tools →

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Go deeper

High-risk tools in Pypi:awx → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about awx_job_launch

What does the awx_job_launch tool do? +

Launch/execute/run/start a new AWX job from a template. Creates a new job execution instance. It is categorised as a Execute tool in the Pypi:awx MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on awx_job_launch? +

Register the Pypi:awx MCP server in PolicyLayer and add a rule for awx_job_launch: 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.

What risk level is awx_job_launch? +

awx_job_launch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit awx_job_launch? +

Yes. Add a rate_limit block to the awx_job_launch 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.

How do I block awx_job_launch completely? +

Set action: deny in the PolicyLayer policy for awx_job_launch. 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.

What MCP server provides awx_job_launch? +

awx_job_launch 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.

Enforce policy on every Pypi:awx tool call.

Start from Pypi:awx, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →