autopilot_heal

Self-heal a broken test step by finding the best matching element on the current screen. Uses fuzzy matching on text, resourceId, className, and bounds.

SERVERClaude Mobile SOURCEalexgladkov/claude-in-mobile

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/alexgladkov-claude-in-mobile/autopilot-heal.md

WHAT IT DOES

What autopilot_heal does on Claude Mobile

AI agents invoke autopilot_heal to trigger actions in Claude Mobile. 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.

RISK

Why autopilot_heal is rated High

This tool executes automated UI interactions on a real device or simulator by locating and acting upon screen elements. It triggers external operations (UI automation actions) whose effects depend on what element it matches and interacts with. Misuse could cause unintended UI actions on a mobile device, potentially affecting app state, data, or device configuration.

From the tool's definition 'Self-heal a broken test step by finding the best matching element on the current screen' and 'Uses fuzzy matching on text, resourceId, className, and bounds' — the tool autonomously identifies and interacts with UI elements to recover/execute a test step on…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs autopilot_heal safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Mobile, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For autopilot_heal, this is the rule to start with:

autopilot_heal Rate-limited

autopilot_heal 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": {
    "autopilot_heal": {
      "limits": [
        {
          "counter": "autopilot_heal_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude Mobile, apply this rule, and every autopilot_heal call is checked against it from then on.

FAQ

Questions about autopilot_heal

What does the autopilot_heal tool do? +

Self-heal a broken test step by finding the best matching element on the current screen. Uses fuzzy matching on text, resourceId, className, and bounds. It is categorised as a Execute tool in the Claude Mobile MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on autopilot_heal? +

Register the Claude Mobile MCP server in PolicyLayer and add a rule for autopilot_heal: 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 Claude Mobile. Nothing to install.

What risk level is autopilot_heal? +

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

Can I rate-limit autopilot_heal? +

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

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

autopilot_heal is provided by the Claude Mobile MCP server (alexgladkov/claude-in-mobile). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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