This record as markdown: /tools/yanhuifair-godot-mcp/stop-project.md
What stop_project does on Godot
AI agents invoke stop_project 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_project is rated High
This tool executes an external operation (terminating processes) whose effects depend on which processes are running at the time. While not destructive in the data-deletion sense, it forcibly halts execution and could interrupt unsaved work or active game sessions.
From the tool's definition stop_project stops all running Godot processes, which is a system command that terminates active operations
Attacks that exploit this kind of access
The rule that runs stop_project 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_project, this is the rule to start with:
stop_project 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_project call is checked against it from then on.
Questions about stop_project
Stop all running Godot processes. 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_project: 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_project 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_project 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_project. 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_project 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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