Medium Risk

figma_push_variables

Write design tokens back to Figma as Variables via the Figma REST API. Creates or updates variable collections.

Part of the Ui server.

figma_push_variables can modify Ui data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use figma_push_variables to create or modify resources in Ui. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call figma_push_variables repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Ui.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

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These attack patterns abuse exactly the kind of access figma_push_variables 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_push_variables only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the figma_push_variables tool do? +

Write design tokens back to Figma as Variables via the Figma REST API. Creates or updates variable collections.. It is categorised as a Write tool in the Ui 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_push_variables? +

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

What risk level is figma_push_variables? +

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

Can I rate-limit figma_push_variables? +

Yes. Add a rate_limit block to the figma_push_variables 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_push_variables completely? +

Set action: deny in the PolicyLayer policy for figma_push_variables. 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_push_variables? +

figma_push_variables is provided by the Ui MCP server (@forgespace/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 Ui tool call.

Deterministic rules across all 38 Ui tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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