High Risk →

debug_stepOut

Step out of the current function and return to the caller

How to control debug_stepOut ↓

What debug_stepOut does on MCP Server for VS Code

AI agents invoke debug_stepOut to trigger actions in MCP Server for VS Code. 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.

High Risk

Why debug_stepOut needs a policy

This tool controls debugger execution flow by stepping out of the current function, which is an active execution control operation. It triggers external operations (debugger state changes) and affects program execution flow. Misuse could cause the debugging session to advance past critical breakpoints, potentially causing loss of debugging context.

From the tool's definition Step out of the current function and return to the caller

Documented attack patterns abuse exactly the kind of access debug_stepOut gives an agent:

How to control debug_stepOut

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Server for VS Code, and nothing reaches the server without passing your rules. This is the rule we recommend for debug_stepOut:

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

debug_stepOut 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.

  1. Create a free account and register MCP Server for VS Code — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about debug_stepOut

What does the debug_stepOut tool do? +

Step out of the current function and return to the caller. It is categorised as a Execute tool in the MCP Server for VS Code 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_stepOut? +

Register the MCP Server for VS Code MCP server in PolicyLayer and add a rule for debug_stepOut: 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 MCP Server for VS Code. Nothing to install.

What risk level is debug_stepOut? +

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

Can I rate-limit debug_stepOut? +

Yes. Add a rate_limit block to the debug_stepOut 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_stepOut completely? +

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

debug_stepOut is provided by the MCP Server for VS Code MCP server (malvex/mcp-server-vscode). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Server for VS Code tool call.

Start from MCP Server for VS Code, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

25 MCP Server for VS Code tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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