This record as markdown: /tools/quangdang46-uefn-verse-mcp/light-place.md
What light_place does on Uefn
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.
Why light_place is rated Medium
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.
Attacks that exploit this kind of access
The rule that runs light_place safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Uefn, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For light_place, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Uefn, apply this rule, and every light_place call is checked against it from then on.
Questions about light_place
light_place is a write tool on the Uefn MCP server. 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.
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