godot_run_managed
Run the project as a managed child process with captured stdout/stderr, so godot_output can read ALL print()/error output.
This record as markdown: /tools/godot-breakpoint-mcp/godot-run-managed.md
What godot_run_managed does on Godot Breakpoint
AI agents invoke godot_run_managed to trigger actions in Godot Breakpoint. 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 godot_run_managed is rated High
This tool executes external operations (running a Godot project) whose effects depend on the project's code and arguments. Execution of user-defined game/application logic that can perform any operation (file I/O, network calls, resource modification) is an Execute risk. Severity is high because a malicious or compromised Godot project could perform extensive side effects on the system.
From the tool's definition Tool runs the project as a managed child process with captured output, indicating execution of arbitrary Godot project code.
Attacks that exploit this kind of access
The rule that runs godot_run_managed safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Godot Breakpoint, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For godot_run_managed, this is the rule to start with:
godot_run_managed 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 Breakpoint, apply this rule, and every godot_run_managed call is checked against it from then on.
Questions about godot_run_managed
Run the project as a managed child process with captured stdout/stderr, so godot_output can read ALL print()/error output. It is categorised as a Execute tool in the Godot Breakpoint MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Godot Breakpoint MCP server in PolicyLayer and add a rule for godot_run_managed: 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 Breakpoint. Nothing to install.
godot_run_managed 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 godot_run_managed 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 godot_run_managed. 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.
godot_run_managed is provided by the Godot Breakpoint MCP server (jlivingston-Cipher/godot-breakpoint-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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