Medium Risk

figma_constraints

Set, get, or reset layout constraints for nodes

How to control figma_constraints ↓

What figma_constraints does on Figma Mcp Write

AI agents use figma_constraints to create or update resources in Figma Mcp Write — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Figma Mcp Write environment.

Medium Risk

Why figma_constraints needs a policy

The tool can set and reset layout constraints on Figma nodes, which modifies design properties. 'Get' is a read operation, but 'set' and 'reset' are write operations that modify node layout constraints. Since the most severe applicable category applies, this is Write. The blast radius is medium as it can alter layout behavior across nodes but changes are reversible within Figma.

From the tool's definition Set, get, or reset layout constraints for nodes

Documented attack patterns abuse exactly the kind of access figma_constraints gives an agent:

How to control figma_constraints

PolicyLayer is an MCP gateway — it sits between your AI agents and Figma Mcp Write, and nothing reaches the server without passing your rules. This is the rule we recommend for figma_constraints:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "figma_constraints": {
      "limits": [
        {
          "counter": "figma_constraints_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

figma_constraints stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Figma Mcp Write — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about figma_constraints

What does the figma_constraints tool do? +

Set, get, or reset layout constraints for nodes. It is categorised as a Write tool in the Figma Mcp Write MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on figma_constraints? +

Register the Figma Mcp Write MCP server in PolicyLayer and add a rule for figma_constraints: 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 Mcp Write. Nothing to install.

What risk level is figma_constraints? +

figma_constraints is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit figma_constraints? +

Yes. Add a rate_limit block to the figma_constraints 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_constraints completely? +

Set action: deny in the PolicyLayer policy for figma_constraints. 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_constraints? +

figma_constraints is provided by the Figma Mcp Write MCP server (oo/figma-mcp-write-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Figma Mcp Write tool call.

Start from Figma Mcp Write, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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24 Figma Mcp Write tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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