start_autonomous_pentest · MCP Kali Pentest MCP

WHAT IT DOES

What start_autonomous_pentest does on MCP Kali Pentest

AI agents invoke start_autonomous_pentest to trigger actions in MCP Kali Pentest. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why start_autonomous_pentest needs a policy

This tool falls into Execute because it runs code and external security operations (penetration testing activities) whose effects depend on the target configuration and AI decision-making. It is critical severity due to the autonomous nature, high blast radius (can impact multiple systems), and irreversible consequences (network disruption, system compromise, data exposure).

From the tool's definition 'Start a fully autonomous penetration test. The AI will make decisions and suggest next steps automatically.' - This tool triggers automated execution of security testing workflows across multiple systems and services without human intervention on each step.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

start_autonomous_pentest Rate-limited

start_autonomous_pentest 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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Kali Pentest, so you can run agents against it safely.

FAQ

Questions about start_autonomous_pentest

What does the start_autonomous_pentest tool do? +

Start a fully autonomous penetration test. The AI will make decisions and suggest next steps automatically. It is categorised as a Execute tool in the MCP Kali Pentest MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_autonomous_pentest? +

Register the MCP Kali Pentest MCP server in PolicyLayer and add a rule for start_autonomous_pentest: 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 MCP Kali Pentest. Nothing to install.

What risk level is start_autonomous_pentest? +

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

Can I rate-limit start_autonomous_pentest? +

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

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

start_autonomous_pentest is provided by the MCP Kali Pentest MCP server (root1856/mcpkali). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.