debug_step
Step the paused thread: OVER (next line), INTO (into call), or OUT (out of current method). Issues the step and resumes the thread; poll for STEP_HIT to see where execution landed.
This record as markdown: /tools/alexgladkov-claude-in-mobile/debug-step.md
What debug_step does on Claude Mobile
AI agents invoke debug_step 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_step is rated High
Controls debugger execution flow, stepping through code and resuming paused threads.
From the tool's definition Step the paused thread... resumes the thread
Attacks that exploit this kind of access
The rule that runs debug_step 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_step, this is the rule to start with:
debug_step 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_step call is checked against it from then on.
Questions about debug_step
Step the paused thread: OVER (next line), INTO (into call), or OUT (out of current method). Issues the step and resumes the thread; poll for STEP_HIT to see where execution landed. 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_step: 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_step 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_step 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_step. 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_step 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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