sessions_step_in

Step into the next function call (requires active breakpoint)

Server Debug-MCP kaina3/debug-mcp
Category Execute
Risk class High
Parameters 00 required

What sessions_step_in does on Debug-MCP

AI agents invoke sessions_step_in to trigger actions in Debug-MCP. 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 sessions_step_in needs a policy

This tool controls execution flow of a running debug session by stepping into function calls. It triggers execution of code in an active debugging session, which falls under the Execute category. Misuse could cause unintended code execution, though it requires an active breakpoint to function.

From the tool's definition Step into the next function call (requires active breakpoint)

Questions about sessions_step_in

What does the sessions_step_in tool do? +

Step into the next function call (requires active breakpoint). It is categorised as a Execute tool in the Debug-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sessions_step_in? +

Register the Debug- MCP server in PolicyLayer and add a rule for sessions_step_in: 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 Debug-MCP. Nothing to install.

What risk level is sessions_step_in? +

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

Can I rate-limit sessions_step_in? +

Yes. Add a rate_limit block to the sessions_step_in 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 sessions_step_in completely? +

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

sessions_step_in is provided by the Debug- MCP server (kaina3/debug-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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