AI agents use add_node to create or update resources in Godot MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Godot MCP environment.
This tool modifies scene data by inserting nodes, which is a Write operation (reversible creation/update). It does not execute arbitrary code, delete data irreversibly, or move money. Severity is medium because misuse could corrupt a game project's scene hierarchy, requiring manual repair, but changes can be undone via undo/redo or version control.
From the tool's definition Tool performs 'add a node to an existing scene' — a reversible modification that creates/alters scene structure in Godot projects.
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 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Godot 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. 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 server (jamesdowzard/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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