High Risk →

debug_step

Advance the target. "in" — step into next call (blocks ~ms, returns {state, breakpoints, stack, frame0_locals}) "over" — step over next call (same shape) "out" — run until current frame returns (same shape) "continue" — resume until next breakpoint (fire-and-forget; returns just {state, breakpoin...

Part of the Mobai server.

debug_step can trigger actions in Mobai, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

SECURE MOBAI →

Free to start. No card required.

AI agents invoke debug_step to trigger processes or run actions in Mobai. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

debug_step can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "debug_step": {
      "limits": [
        {
          "counter": "debug_step_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Mobai policy for all 20 tools.

Get this rule live on your own Mobai server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY MOBAI →

View all 20 tools →

These attack patterns abuse exactly the kind of access debug_step gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so debug_step only ever does what you allow.

SECURE MOBAI →

Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the debug_step tool do? +

Advance the target. "in" — step into next call (blocks ~ms, returns {state, breakpoints, stack, frame0_locals}) "over" — step over next call (same shape) "out" — run until current frame returns (same shape) "continue" — resume until next breakpoint (fire-and-forget; returns just {state, breakpoints} — poll debug_state for next stop). It is categorised as a Execute tool in the Mobai 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_step? +

Register the Mobai 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 Mobai. Nothing to install.

What risk level is debug_step? +

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

Can I rate-limit debug_step? +

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.

How do I block debug_step completely? +

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.

What MCP server provides debug_step? +

debug_step is provided by the Mobai MCP server (MobAI-App/mobai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mobai tool call.

Deterministic rules across all 20 Mobai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.