Get properties of an actor.
AI agents call get_actor_properties to retrieve information from Uefn without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data (actor properties) with no side effects, reversible operations, or external state changes. It is a pure read operation typical of inspection/introspection tools in game editors. The low severity reflects minimal risk from misuse—an AI agent querying actor properties cannot cause harm to the Fortnite editor or project state.
From the tool's definition Tool name 'get_actor_properties' and description 'Get properties of an actor' indicate a query operation that retrieves information about an actor without modification or side effects.
Documented attack patterns abuse exactly the kind of access get_actor_properties gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Uefn, and nothing reaches the server without passing your rules. This is the rule we recommend for get_actor_properties:
{
"version": "1",
"default": "deny",
"tools": {
"get_actor_properties": {}
}
} get_actor_properties is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get properties of an actor. It is categorised as a Read tool in the Uefn MCP Server, which means it retrieves data without modifying state.
Register the Uefn MCP server in PolicyLayer and add a rule for get_actor_properties: 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 Uefn. Nothing to install.
get_actor_properties is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_actor_properties 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 get_actor_properties. 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.
get_actor_properties is provided by the Uefn MCP server (quangdang46/uefn-verse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Uefn, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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