debug_detach
Detach the debugger and end the session (the app keeps running). Also tears down the adb forward / LLDB daemon for this session.
This record as markdown: /tools/alexgladkov-claude-in-mobile/debug-detach.md
What debug_detach does on Claude Mobile
AI agents invoke debug_detach 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.
Why debug_detach is rated High
Ends a debug session and tears down infrastructure; reversible but triggers external operations.
From the tool's definition Detach the debugger, tears down adb forward / LLDB daemon
Attacks that exploit this kind of access
The rule that runs debug_detach 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_detach, this is the rule to start with:
debug_detach 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude Mobile, apply this rule, and every debug_detach call is checked against it from then on.
Questions about debug_detach
Detach the debugger and end the session (the app keeps running). Also tears down the adb forward / LLDB daemon for this session. 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.
Register the Claude Mobile MCP server in PolicyLayer and add a rule for debug_detach: 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.
debug_detach is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the debug_detach 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.
Set action: deny in the PolicyLayer policy for debug_detach. 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.
debug_detach 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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