cluster_figma_flows
Cluster Figma frames into flow groups using multi-signal priority cascade: 1) section-based grouping (highest priority), 2) prototype connection Union-Find, 3) name-prefix matching (e.g.
This record as markdown: /tools/io-github-homenshum-nodebench/cluster-figma-flows.md
What cluster_figma_flows does on Nodebench
AI agents call cluster_figma_flows 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 cluster_figma_flows is rated Low
The tool analyzes and groups existing Figma frames by clustering them based on sections, connections, and naming patterns. This is a read/analysis operation that organizes data for inspection without modifying, deleting, or executing anything external.
From the tool's definition Cluster Figma frames into flow groups using multi-signal priority cascade: 1) section-based grouping (highest priority), 2) prototype connection Union-Find, 3) name-prefix matching
Attacks that exploit this kind of access
The rule that runs cluster_figma_flows 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 cluster_figma_flows, this is the rule to start with:
cluster_figma_flows 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 cluster_figma_flows call is checked against it from then on.
Questions about cluster_figma_flows
Cluster Figma frames into flow groups using multi-signal priority cascade: 1) section-based grouping (highest priority), 2) prototype connection Union-Find, 3) name-prefix matching (e.g. 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 cluster_figma_flows: 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.
cluster_figma_flows 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 cluster_figma_flows 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 cluster_figma_flows. 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.
cluster_figma_flows 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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