debug_resume

Resume all threads in the debugged VM/process. Use after inspecting a paused state to let the app continue running.

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/debug-resume.md

WHAT IT DOES

What debug_resume does on Claude Mobile

AI agents invoke debug_resume 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 debug_resume is rated High

Resumes execution of a paused process/VM, triggering continued code execution.

From the tool's definition Resume all threads in the debugged VM/process

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs debug_resume 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 debug_resume, this is the rule to start with:

debug_resume Rate-limited

debug_resume 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": {
    "debug_resume": {
      "limits": [
        {
          "counter": "debug_resume_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 debug_resume call is checked against it from then on.

FAQ

Questions about debug_resume

What does the debug_resume tool do? +

Resume all threads in the debugged VM/process. Use after inspecting a paused state to let the app continue running. 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 debug_resume? +

Register the Claude Mobile MCP server in PolicyLayer and add a rule for debug_resume: 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 debug_resume? +

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

Can I rate-limit debug_resume? +

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

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

debug_resume 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.

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