This record as markdown: /tools/quangdang46-uefn-verse-mcp/light-bulk-adjust.md
What light_bulk_adjust does on Uefn
AI agents use light_bulk_adjust 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_bulk_adjust is rated Medium
Based on the name alone, this tool likely adjusts properties (brightness, color, intensity) of multiple lights in bulk within the UEFN editor. 'Adjust' implies modification of existing data, which maps to Write. Bulk operations increase blast radius slightly. Confidence is reduced due to empty description.
From the tool's definition Tool name 'light_bulk_adjust' — no description provided.
Attacks that exploit this kind of access
The rule that runs light_bulk_adjust 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_bulk_adjust, this is the rule to start with:
light_bulk_adjust 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_bulk_adjust call is checked against it from then on.
Questions about light_bulk_adjust
light_bulk_adjust 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_bulk_adjust: 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_bulk_adjust 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_bulk_adjust 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_bulk_adjust. 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_bulk_adjust 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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