AI agents use create_environment to create or update resources in Godot — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Godot environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
path | string | Yes | Output path for new Environment .tres (e.g. "environments/default.tres") |
preset | object | — | Preset: default, stylized, dark, or bright |
Parameters from the server's own tool schema.
This tool creates (writes) a new environment configuration from a preset, which is a reversible operation. It does not execute arbitrary code, delete data, or move financial assets. The severity is medium because an AI agent could create unwanted environment configurations that affect rendering, audio, or physics settings in the game project, requiring manual cleanup but no permanent damage.
From the tool's definition Tool name 'create_environment' and description 'Create Environment from preset' indicate creation of a new environment resource in Godot.
Risk signalsAccepts file system path (path)
Attacks that exploit this kind of access
Create Environment from preset. It is categorised as a Write tool in the Godot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_environment accepts 2 parameters: path, preset. Required: path. The full parameter table on this page comes from the server's own tool schema.
Register the Godot MCP server in PolicyLayer and add a rule for create_environment: 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.
create_environment 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 create_environment 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 create_environment. 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.
create_environment is provided by the Godot MCP server (@yanhuifair/godot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
create_environment is one line of Godot's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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