extract_figma_frames
Extract all frames from a Figma file using depth=3 tree traversal (DOCUMENT -> CANVAS -> SECTION -> FRAME). CRITICAL: uses depth=3 not depth=2 — depth=2 only gets SECTION nodes, missing the FRAME nodes inside them. Returns structured FigmaFrame objects with bounding boxes, section names, and tran...
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What extract_figma_frames does on Nodebench
AI agents call extract_figma_frames to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why extract_figma_frames is rated Low
extract_figma_frames performs read-only access to Figma design data. It retrieves frame information with bounding boxes and metadata but does not create, modify, delete, or execute any operations. The clarification about depth parameters is implementation detail that doesn't change the fundamental read-only nature of the operation.
From the tool's definition Tool description states it 'Extract all frames from a Figma file' and 'Returns structured FigmaFrame objects' — this is a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs extract_figma_frames safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For extract_figma_frames, this is the rule to start with:
extract_figma_frames 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 Nodebench, apply this rule, and every extract_figma_frames call is checked against it from then on.
Questions about extract_figma_frames
Extract all frames from a Figma file using depth=3 tree traversal (DOCUMENT -> CANVAS -> SECTION -> FRAME). CRITICAL: uses depth=3 not depth=2 — depth=2 only gets SECTION nodes, missing the FRAME nodes inside them. Returns structured FigmaFrame objects with bounding boxes, section names, and transition targets. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for extract_figma_frames: 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 Nodebench. Nothing to install.
extract_figma_frames 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 extract_figma_frames 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 extract_figma_frames. 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.
extract_figma_frames is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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