step_into
Step into the current function call when paused at a breakpoint
This record as markdown: /tools/keeveeg-godot-mcp/step-into.md
What step_into does on Godot
AI agents invoke step_into to trigger actions in Godot. 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 step_into is rated High
This tool controls debugger execution flow by stepping into function calls during a paused debugging session. It triggers execution of code within the Godot engine debugger, making it an Execute-category action. Misuse could cause unintended code execution paths, but blast radius is moderate as it only advances execution one step at a time within an existing debug session.
From the tool's definition Step into the current function call when paused at a breakpoint
Attacks that exploit this kind of access
The rule that runs step_into safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Godot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For step_into, this is the rule to start with:
step_into 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Godot, apply this rule, and every step_into call is checked against it from then on.
Questions about step_into
Step into the current function call when paused at a breakpoint. It is categorised as a Execute tool in the Godot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Godot 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 Godot. 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 Godot MCP server (@keeveeg/godot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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