AI agents call get_local_components to retrieve information from MCP Figma without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries component metadata from a Figma document. It performs a read-only operation that does not create, modify, delete, or execute any actions. The blast radius is minimal—an AI agent cannot cause harm by calling this tool, as it only returns information about existing design components.
From the tool's definition Tool name 'get_local_components' and description 'Get all local components from the Figma document' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get all local components from the Figma document. It is categorised as a Read tool in the MCP Figma MCP Server, which means it retrieves data without modifying state.
Register the MCP Figma MCP server in PolicyLayer and add a rule for get_local_components: 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 MCP Figma. Nothing to install.
get_local_components 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 get_local_components 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 get_local_components. 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.
get_local_components is provided by the MCP Figma MCP server (yelowflash09/figma_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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