Low Risk

figma_docs

Get the API reference and design rules for figma_write. Call with no args first — returns quick-start guide + critical rules. Then load specific sections as needed: section='rules' (design principles, token rules, layer order, component-first), section='layout' (auto-layout, button/card/badge/pro...

Part of the Figma Ui server.

figma_docs is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call figma_docs to retrieve information from Figma Ui without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though figma_docs only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "figma_docs": {}
  }
}

See the full Figma Ui policy for all 5 tools.

Get this rule live on your own Figma Ui server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access figma_docs gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so figma_docs only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the figma_docs tool do? +

Get the API reference and design rules for figma_write. Call with no args first — returns quick-start guide + critical rules. Then load specific sections as needed: section='rules' (design principles, token rules, layer order, component-first), section='layout' (auto-layout, button/card/badge/progress/mobile rules), section='api' (create/modify/delete/clone/batch/read operations + workflow), section='tokens' (variables, multi-mode, paint styles, text styles), section='icons' (loadImage, loadIcon, loadIconIn, icon libraries, coloring, sizing). Always call figma_docs BEFORE any figma_write code.. It is categorised as a Read tool in the Figma Ui MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on figma_docs? +

Register the Figma Ui MCP server in PolicyLayer and add a rule for figma_docs: 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 Ui. Nothing to install.

What risk level is figma_docs? +

figma_docs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit figma_docs? +

Yes. Add a rate_limit block to the figma_docs 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.

How do I block figma_docs completely? +

Set action: deny in the PolicyLayer policy for figma_docs. 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.

What MCP server provides figma_docs? +

figma_docs is provided by the Figma Ui MCP server (TranHoaiHung/figma-ui-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Figma Ui tool call.

Deterministic rules across all 5 Figma Ui tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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