Add a node to an existing scene
AI agents use add_node to create or update resources in Godot MCP Enhanced — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Godot MCP Enhanced environment.
Adding a node modifies the scene structure reversibly. While this changes project files, the operation is not destructive (can be undone/reversed) and does not delete data, execute arbitrary code, or move financial resources. It fits the Write category as a data modification operation.
From the tool's definition Tool description states 'Add a node to an existing scene' — this creates/modifies scene data within the Godot project.
Attacks that exploit this kind of access
Add a node to an existing scene. It is categorised as a Write tool in the Godot MCP Enhanced MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Godot MCP Enhanced MCP server in PolicyLayer and add a rule for add_node: 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 Enhanced. Nothing to install.
add_node is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_node 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 add_node. 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.
add_node is provided by the Godot MCP Enhanced MCP server (xinyuzjj/godot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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