Step out of current function
AI agents invoke step_out to trigger actions in MCP Debug Server. 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.
This tool controls the execution flow of a Windows process being debugged, causing the process to continue executing until it returns from the current function. It is an Execute-category action as it directly affects how a live process runs.
From the tool's definition Step out of current function — controls execution flow of a debugged process
Attacks that exploit this kind of access
Step out of current function. It is categorised as a Execute tool in the MCP Debug Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Debug Server MCP server in PolicyLayer and add a rule for step_out: 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 Debug Server. Nothing to install.
step_out 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 step_out 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 step_out. 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.
step_out is provided by the MCP Debug Server MCP server (nickzer0/mcp-debugserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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