AI agents call get_actor_properties to retrieve information from Unreal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns properties of an existing actor without modifying, deleting, or executing any operations. It is purely informational, matching the Read category definition (retrieves or queries data; no side effects).
From the tool's definition Tool name is 'get_actor_properties' and description states 'Get all properties of an actor by name' — both indicate a read-only query operation with no side effects.
Attacks that exploit this kind of access
Get all properties of an actor by name. It is categorised as a Read tool in the Unreal MCP Server, which means it retrieves data without modifying state.
Register the Unreal 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 Unreal. 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 Unreal MCP server (sam-david/unreal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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