manage_tools · Unreal Mcp Ue4 MCP: Risk & Policy

WHAT IT DOES

What manage_tools does on Unreal Mcp Ue4

AI agents use manage_tools 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_tools
`params`	object	—	Parameters for the selected manage_tools action. Supported actions: manage_tools.describe_namespace, manage_tools.list_namespaces, manage_tools.tool_status.

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why manage_tools needs a policy

An AI agent can call manage_tools 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_tools Rate-limited

manage_tools 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_tools": {
      "limits": [
        {
          "counter": "manage_tools_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_tools

What does the manage_tools tool do? +

Tool-namespace registry for listing registered tool namespaces and describing supported actions. Use this as the discovery entry point for the namespace-first MCP surface. 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_tools accept? +

manage_tools 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_tools? +

Register the Unreal Mcp Ue4 MCP server in PolicyLayer and add a rule for manage_tools: 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_tools? +

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

Can I rate-limit manage_tools? +

Yes. Add a rate_limit block to the manage_tools 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_tools completely? +

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

manage_tools 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.