editor_play_current_scene
Play the currently edited scene from the editor.
This record as markdown: /tools/yanhuifair-godot-mcp/editor-play-current-scene.md
What editor_play_current_scene does on Godot
AI agents invoke editor_play_current_scene 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 editor_play_current_scene is rated High
Triggers external execution of a Godot scene within the editor environment.
From the tool's definition Play the currently edited scene from the editor
Attacks that exploit this kind of access
The rule that runs editor_play_current_scene 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 editor_play_current_scene, this is the rule to start with:
editor_play_current_scene 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 editor_play_current_scene call is checked against it from then on.
Questions about editor_play_current_scene
Play the currently edited scene from the editor. 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 editor_play_current_scene: 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.
editor_play_current_scene 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 editor_play_current_scene 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 editor_play_current_scene. 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.
editor_play_current_scene 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.
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