debug_eval

Evaluate an expression on a paused thread. Android: a local name,

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-eval.md

WHAT IT DOES

What debug_eval does on Claude Mobile

AI agents invoke debug_eval 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_eval is rated High

Executes arbitrary expressions on a paused thread, enabling code execution on device.

From the tool's definition Evaluate an expression on a paused thread

Attacks that exploit this kind of access

RECOMMENDED RULE

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

debug_eval Rate-limited

debug_eval 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_eval": {
      "limits": [
        {
          "counter": "debug_eval_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_eval call is checked against it from then on.

FAQ

Questions about debug_eval

What does the debug_eval tool do? +

Evaluate an expression on a paused thread. Android: a local name,. 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_eval? +

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

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

Can I rate-limit debug_eval? +

Yes. Add a rate_limit block to the debug_eval 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_eval completely? +

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

debug_eval 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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