Get information about the current selection in Figma
AI agents call get_selection to retrieve information from Cursor Talk to Figma MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only queries and returns information about the user's current selection state in Figma. It performs no modifications, deletions, or external operations. It is a straightforward read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name is 'get_selection' and description states 'Get information about the current selection in Figma' — pure retrieval with no side effects.
Attacks that exploit this kind of access
Get information about the current selection in Figma. It is categorised as a Read tool in the Cursor Talk to Figma MCP MCP Server, which means it retrieves data without modifying state.
Register the Cursor Talk to Figma MCP server in PolicyLayer and add a rule for get_selection: 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 Cursor Talk to Figma MCP. Nothing to install.
get_selection 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_selection 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_selection. 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_selection is provided by the Cursor Talk to Figma MCP server (paragdesai1/parag-figma-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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