AI agents call export_image to retrieve information from Figmad without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads/exports existing Figma node data and returns a URL. It does not create, modify, or delete any content — it is a read/export operation with no side effects on the design or external systems.
From the tool's definition Export a Figma node as an image... Returns a URL to the exported image
Attacks that exploit this kind of access
Export a Figma node as an image (PNG, JPG, SVG, or PDF). Returns a URL to the exported image. It is categorised as a Read tool in the Figmad MCP Server, which means it retrieves data without modifying state.
Register the Figmad MCP server in PolicyLayer and add a rule for export_image: 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 Figmad. Nothing to install.
export_image 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 export_image 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 export_image. 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.
export_image is provided by the Figmad MCP server (toro1221/figmad-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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