This record as markdown: /tools/6ninelives-godot-mcp/stop-project.md
What stop_project does on Godot MCP
AI agents invoke stop_project to trigger actions in Godot MCP. 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
The tool executes an action that terminates a running process. While not destructive (data is not deleted), it is Execute-category because it triggers an external operation with real-world side effects (process termination). Severity is medium because stopping a project interrupts workflow and may lose unsaved state, but does not permanently destroy data or move money.
From the tool's definition Tool description: 'Stop the currently running Godot project' — this triggers an external operation (halting a Godot process) whose effects depend on runtime state and cannot be trivially reversed without restarting.
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 MCP, 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 MCP, apply this rule, and every stop_project call is checked against it from then on.
Questions about stop_project
Stop the currently running Godot project. It is categorised as a Execute tool in the Godot MCP 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 MCP. 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 (6ninelives/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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