Step into
AI agents invoke step_into to trigger actions in Mcp Debugger. 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.
Step into is a debugger execution control that causes the attached process to execute code, stepping into function calls. This triggers actual code execution in the target process, making it an Execute category action. Misuse could cause unintended code paths to run in a live process.
From the tool's definition 'Step into' - a debugger control command that advances execution into the next function call, triggering external operations in the debugged process
Attacks that exploit this kind of access
Step into. It is categorised as a Execute tool in the Mcp Debugger MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Debugger MCP server in PolicyLayer and add a rule for step_into: 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 Debugger. Nothing to install.
step_into 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_into 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_into. 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_into is provided by the Mcp Debugger MCP server (@debugmcp/mcp-debugger). 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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