High Risk →

run_full_automation

Run complete test automation pipeline: analyze → generate scenarios → run tests → detect issues → suggest fixes. Interactive confirmation for fixes.

Part of the Test Genie server.

run_full_automation can trigger actions in Test Genie, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

SECURE TEST GENIE →

Free to start. No card required.

AI agents invoke run_full_automation to trigger processes or run actions in Test Genie. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

run_full_automation can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_full_automation": {
      "limits": [
        {
          "counter": "run_full_automation_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Test Genie policy for all 19 tools.

Get this rule live on your own Test Genie server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY TEST GENIE →

View all 19 tools →

These attack patterns abuse exactly the kind of access run_full_automation gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so run_full_automation only ever does what you allow.

SECURE TEST GENIE →

Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the run_full_automation tool do? +

Run complete test automation pipeline: analyze → generate scenarios → run tests → detect issues → suggest fixes. Interactive confirmation for fixes.. It is categorised as a Execute tool in the Test Genie MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_full_automation? +

Register the Test Genie MCP server in PolicyLayer and add a rule for run_full_automation: 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 Test Genie. Nothing to install.

What risk level is run_full_automation? +

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

Can I rate-limit run_full_automation? +

Yes. Add a rate_limit block to the run_full_automation 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 run_full_automation completely? +

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

run_full_automation is provided by the Test Genie MCP server (MUSE-CODE-SPACE/test-genie-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Test Genie tool call.

Deterministic rules across all 19 Test Genie tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.