set_actor_properties
AI agents use set_actor_properties to create or update resources in Uefn — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Uefn environment.
This tool creates or modifies actor properties within the Unreal editor, which is a reversible Write operation. While the description is empty (lowering confidence slightly), the name combined with sibling context clearly indicates property modification rather than deletion, execution of arbitrary code, or financial operations.
From the tool's definition Tool name 'set_actor_properties' indicates modification of actor properties in Unreal Editor. The server context (UEFN - Unreal Editor for Fortnite) and sibling tools like 'actor_move_to_folder', 'actor_set_label', 'actor_show', 'actor_unlock' confirm this is…
Documented attack patterns abuse exactly the kind of access set_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 set_actor_properties:
{
"version": "1",
"default": "deny",
"tools": {
"set_actor_properties": {
"limits": [
{
"counter": "set_actor_properties_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} set_actor_properties 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.
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set_actor_properties. It is categorised as a Write tool in the Uefn MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Uefn MCP server in PolicyLayer and add a rule for set_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.
set_actor_properties is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_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 set_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.
set_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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143 Uefn tools catalogued and risk-classified — across an index of 43,000+ MCP servers.