end_call · AutoBot MCP: Risk & Policy

WHAT IT DOES

What end_call does on AutoBot MCP

AI agents invoke end_call to trigger actions in AutoBot MCP. 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 end_call needs a policy

This tool executes a real-time action on the device (terminating an active phone call). It is not merely reading data, and while it affects an ongoing operation, call termination is not irreversible data destruction nor financial. It fits Execute as it triggers an external operation whose effect depends on device state.

From the tool's definition End the current phone call — triggers an external telephony operation on the Android device

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

end_call Rate-limited

end_call 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": {
    "end_call": {
      "limits": [
        {
          "counter": "end_call_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 AutoBot MCP, so you can run agents against it safely.

FAQ

Questions about end_call

What does the end_call tool do? +

End the current phone call. It is categorised as a Execute tool in the AutoBot MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on end_call? +

Register the AutoBot MCP server in PolicyLayer and add a rule for end_call: 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 AutoBot MCP. Nothing to install.

What risk level is end_call? +

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

Can I rate-limit end_call? +

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

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

end_call is provided by the AutoBot MCP server (yz0903/autobot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.