AI agents use light_place 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.
Based on the name pattern 'light_place' and sibling tools like 'audio_place' (which likely places audio actors), this tool most likely creates/places a light object in the Unreal Editor for Fortnite scene. Placing an object is a Write operation. Confidence is reduced due to the empty description.
From the tool's definition Tool name 'light_place' suggests placing a light actor in the UEFN editor scene; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access light_place 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 light_place:
{
"version": "1",
"default": "deny",
"tools": {
"light_place": {
"limits": [
{
"counter": "light_place_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}light_place 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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light_place. 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 light_place: 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.
light_place 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 light_place 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 light_place. 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.
light_place 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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