select_by_class
Select all actors of a given class in the current level.
This record as markdown: /tools/quangdang46-uefn-verse-mcp/select-by-class.md
What select_by_class does on Uefn
AI agents invoke select_by_class to trigger actions in Uefn. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why select_by_class is rated High
This tool triggers an editor operation (selection) that affects the state of the live UEFN editor environment. While it doesn't delete or write persistent data, it executes an editor action that modifies the active selection state, which can have downstream effects (e.g., subsequent batch operations acting on the selection). It goes beyond a pure read/query operation because it changes editor state.
From the tool's definition Select all actors of a given class in the current level
Attacks that exploit this kind of access
The rule that runs select_by_class 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 select_by_class, this is the rule to start with:
select_by_class stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 select_by_class call is checked against it from then on.
Questions about select_by_class
Select all actors of a given class in the current level. It is categorised as a Execute tool in the Uefn MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Uefn MCP server in PolicyLayer and add a rule for select_by_class: 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.
select_by_class is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the select_by_class 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 select_by_class. 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.
select_by_class 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.
More on Uefn, and thousands of servers like it.
This server
Across the catalogue