This record as markdown: /tools/chanceflow-godot-mcp/project-stop.md
What project_stop does on Godot
AI agents invoke project_stop 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 project_stop is rated High
Stopping a running project is an Execute action because it triggers an external operation (process termination) whose effects depend on context (which project is running). It is not Read (no data retrieval), Write (not creating/modifying persistent data reversibly), Destructive (stopping a process is not irreversible), Financial (no money involved), or Other.
From the tool's definition Tool performs 'Stop the currently running Godot project' — an action that terminates a running process. This is an operational control that triggers external execution with side effects dependent on the running state, similar to process termination or system…
Attacks that exploit this kind of access
The rule that runs project_stop 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 project_stop, this is the rule to start with:
project_stop 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 project_stop call is checked against it from then on.
Questions about project_stop
Stop the currently running Godot project. 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 project_stop: 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.
project_stop 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 project_stop 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 project_stop. 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.
project_stop is provided by the Godot MCP server (chanceflow/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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