This record as markdown: /tools/quangdang46-uefn-verse-mcp/get-selected-actors.md
What get_selected_actors does on Uefn
AI agents call get_selected_actors to retrieve information from Uefn without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_selected_actors is rated Low
This tool retrieves information about the current selection state in the UEFN editor without creating, modifying, deleting, or executing any operations. It has no side effects and poses minimal risk—it only provides visibility into existing editor state.
From the tool's definition Tool name 'get_selected_actors' and description 'Get currently selected actors' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs get_selected_actors 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 get_selected_actors, this is the rule to start with:
get_selected_actors is read-only, so it stays allowed. 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 get_selected_actors call is checked against it from then on.
Questions about get_selected_actors
Get currently selected actors. It is categorised as a Read tool in the Uefn MCP Server, which means it retrieves data without modifying state.
Register the Uefn MCP server in PolicyLayer and add a rule for get_selected_actors: 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.
get_selected_actors is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_selected_actors 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 get_selected_actors. 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.
get_selected_actors 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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