AI agents invoke stop_project to trigger actions in Godot Devtool. 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.
Stopping a running project is an Execute action because it triggers an external operation (process termination) whose effects are immediate and observable. While not destructive to data, it interrupts ongoing work, potentially causes unsaved changes to be lost, and affects the application state in ways the user may not intend.
From the tool's definition The tool description states it will 'Stop the currently running Godot project', which terminates an active process/application state. This is an external operation with real-time effects that depend on the runtime state of the target project.
Documented attack patterns abuse exactly the kind of access stop_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Godot Devtool, and nothing reaches the server without passing your rules. This is the rule we recommend for stop_project:
{
"version": "1",
"default": "deny",
"tools": {
"stop_project": {
"limits": [
{
"counter": "stop_project_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}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.
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Stop the currently running Godot project. It is categorised as a Execute tool in the Godot Devtool MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Godot Devtool 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 Devtool. 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 Devtool MCP server (wangdiandao/godot-devtool). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 101 Godot Devtool tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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101 Godot Devtool tools catalogued and risk-classified — across an index of 42,500+ MCP servers.