awx_job_events

THE RISK

Low Risk

Why awx_job_events needs a policy

This tool retrieves and displays historical job execution data from AWX. While it may expose sensitive information in job logs (credentials, outputs, internal details), the tool itself performs no destructive, financial, or code-execution actions. The risk is informational rather than operational.

From the tool's definition Tool description states 'Show/list/view/get detailed events, tasks, plays, and execution steps' — these are read operations. The verbs are all data retrieval (show, list, view, get) with no mention of modification, deletion, or execution capabilities.

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

POLICY

How to control awx_job_events

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_events:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "awx_job_events": {}
  }
}

awx_job_events is read-only, so it stays allowed — but 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.

CAP 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 →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about awx_job_events

What does the awx_job_events tool do? +

Show/list/view/get detailed events, tasks, plays, and execution steps of an AWX job. 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.

How do I enforce a policy on awx_job_events? +

Register the Pypi:awx MCP server in PolicyLayer and add a rule for awx_job_events: 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_events? +

awx_job_events is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit awx_job_events? +

Yes. Add a rate_limit block to the awx_job_events 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_events completely? +

Set action: deny in the PolicyLayer policy for awx_job_events. 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_events? +

awx_job_events 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 →