This record as markdown: /tools/keeveeg-godot-mcp/stop-scene.md
What stop_scene does on Godot
AI agents invoke stop_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 stop_scene is rated High
This tool executes a control command that stops an active scene, which is an irreversible runtime action with side effects on the game state. While not destructive (data is not deleted), it is an Execute action as it triggers an external operation (scene state change) whose effects depend on the current application context. The high severity reflects that misuse could disrupt game sessions or workflows.
From the tool's definition Tool name 'stop_scene' and description 'Stop the currently playing scene' indicate an action that triggers a runtime operation in the Godot game engine.
Attacks that exploit this kind of access
The rule that runs stop_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 stop_scene, this is the rule to start with:
stop_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 stop_scene call is checked against it from then on.
Questions about stop_scene
Stop the currently playing scene. 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 stop_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.
stop_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 stop_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 stop_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.
stop_scene 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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