Set padding values for an auto-layout frame in Figma
AI agents use set_padding to create or update resources in Figma AI Bridge — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Figma AI Bridge environment.
This tool modifies design metadata (padding values) on existing Figma frames, which is a reversible write operation. It does not execute arbitrary code, delete content, move money, or read-only query data. The blast radius is medium because incorrect padding changes could affect design layouts across a document, but the operation is fully reversible through undo or re-editing.
From the tool's definition Tool description states 'Set padding values for an auto-layout frame in Figma', which modifies design properties.
Documented attack patterns abuse exactly the kind of access set_padding gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Figma AI Bridge, and nothing reaches the server without passing your rules. This is the rule we recommend for set_padding:
{
"version": "1",
"default": "deny",
"tools": {
"set_padding": {
"limits": [
{
"counter": "set_padding_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} set_padding 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.
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Set padding values for an auto-layout frame in Figma. It is categorised as a Write tool in the Figma AI Bridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Figma AI Bridge MCP server in PolicyLayer and add a rule for set_padding: 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 AI Bridge. Nothing to install.
set_padding is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_padding 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 set_padding. 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.
set_padding is provided by the Figma AI Bridge MCP server (renfei-design/figma_ai_bridge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Figma AI Bridge, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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