AI agents invoke launch_editor 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
scene | object | — | Scene to open on launch (e.g. "res://main.tscn") |
project_path | object | — | Project path (default: current project root) |
Parameters from the server's own tool schema.
This tool executes an external application (Godot editor) and can perform arbitrary operations within that editor environment depending on the project loaded. While not immediately destructive on its own, it grants execution capability over a complex game engine environment with access to file systems, scripts, and project resources.
From the tool's definition The tool 'launch_editor' launches the Godot editor with a project, which triggers an external process execution whose side effects depend on the project and editor state.
Attacks that exploit this kind of access
Launch Godot editor with project. 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.
launch_editor accepts 2 parameters: scene, project_path. The full parameter table on this page comes from the server's own tool schema.
Register the Godot MCP server in PolicyLayer and add a rule for launch_editor: 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.
launch_editor 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 launch_editor 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 launch_editor. 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.
launch_editor is provided by the Godot MCP server (@yanhuifair/godot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
launch_editor is one line of Godot's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →