manage_editor · Unreal Mcp Ue4 MCP: Risk & Policy

WHAT IT DOES

What manage_editor does on Unreal Mcp Ue4

AI agents use manage_editor to create or update resources in Unreal Mcp Ue4 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Unreal Mcp Ue4 environment.

PARAMETERS

Parameter	Type	Required	Description
`action`	string	Yes	Action to execute inside tool namespace manage_editor
`params`	object	—	Parameters for the selected manage_editor action. Supported actions: manage_editor.console_command, manage_editor.get_console_variable, manage_editor.is_pie_run

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why manage_editor needs a policy

An AI agent can call manage_editor faster than any human can review — one bad instruction and it creates or modifies resources in Unreal Mcp Ue4 by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_editor Rate-limited

manage_editor 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_editor": {
      "limits": [
        {
          "counter": "manage_editor_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Unreal Mcp Ue4, so you can run agents against it safely.

FAQ

Questions about manage_editor

What does the manage_editor tool do? +

Editor tool namespace for run_python, console_command, project_info, map_info, world_outliner, is_pie_running, start_pie, stop_pie, screenshot, and move_camera actions. It is categorised as a Write tool in the Unreal Mcp Ue4 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does manage_editor accept? +

manage_editor accepts 2 parameters: action, params. Required: action. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on manage_editor? +

Register the Unreal Mcp Ue4 MCP server in PolicyLayer and add a rule for manage_editor: 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 Mcp Ue4. Nothing to install.

What risk level is manage_editor? +

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

Can I rate-limit manage_editor? +

Yes. Add a rate_limit block to the manage_editor 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 manage_editor completely? +

Set action: deny in the PolicyLayer policy for manage_editor. 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 manage_editor? +

manage_editor is provided by the Unreal Mcp Ue4 MCP server (unreal-mcp-ue4). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.