Medium Risk

editor_create_object

Create a new object/actor in the world\n\nExample output: {

How to control editor_create_object ↓

AI agents use editor_create_object to create or update resources in Unreal — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Unreal environment.

Medium Risk

Creating objects/actors in a game world is a reversible write operation that adds new data structures to the project. While it modifies the world, it does not execute arbitrary code, delete data irreversibly, or move money.

From the tool's definition Tool name 'editor_create_object' with description 'Create a new object/actor in the world' indicates data creation within the Unreal Editor environment. The capability to instantiate new actors/objects modifies the project state.

Documented attack patterns abuse exactly the kind of access editor_create_object gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Unreal, and nothing reaches the server without passing your rules. This is the rule we recommend for editor_create_object:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "editor_create_object": {
      "limits": [
        {
          "counter": "editor_create_object_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

editor_create_object stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Unreal — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the editor_create_object tool do? +

Create a new object/actor in the world\n\nExample output: {. It is categorised as a Write tool in the Unreal MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on editor_create_object? +

Register the Unreal MCP server in PolicyLayer and add a rule for editor_create_object: 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 Unreal. Nothing to install.

What risk level is editor_create_object? +

editor_create_object is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit editor_create_object? +

Yes. Add a rate_limit block to the editor_create_object 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.

How do I block editor_create_object completely? +

Set action: deny in the PolicyLayer policy for editor_create_object. 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.

What MCP server provides editor_create_object? +

editor_create_object is provided by the Unreal MCP server (runreal/unreal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Unreal tool call.

Deterministic rules across all 20 Unreal tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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