Screenshot one or more nodes as base64 images. Use nodeId for a single node, or nodeIds for multiple nodes in one call. If plugin is connected, fileKey is optional.
AI agents call figma_screenshot to retrieve information from Figma Unified without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though figma_screenshot only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Screenshot one or more nodes as base64 images. Use nodeId for a single node, or nodeIds for multiple nodes in one call. If plugin is connected, fileKey is optional. It is categorised as a Read tool in the Figma Unified MCP Server, which means it retrieves data without modifying state.
Register the Figma Unified MCP server in PolicyLayer and add a rule for figma_screenshot: 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 Figma Unified. Nothing to install.
figma_screenshot 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 figma_screenshot 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 figma_screenshot. 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.
figma_screenshot is provided by the Figma Unified MCP server (sso-ss/figma-unified-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.