AI agents call list_color_tokens to retrieve information from GDS MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves design system metadata (color tokens) with no side effects, no code execution, no data modification, and no destructive or financial implications. It is a straightforward informational read operation used to discover available design tokens.
From the tool's definition Tool name 'list_color_tokens' and description state it 'returns a list of all color tokens' with metadata (name, value, description).
Attacks that exploit this kind of access
Levit 디자인 시스템의 모든 컬러 토큰을 이름·값·설명과 함께 목록으로 반환합니다. 어떤 색상이 정의되어 있는지 전체를 파악할 때 사용하세요. It is categorised as a Read tool in the GDS MCP MCP Server, which means it retrieves data without modifying state.
Register the GDS MCP server in PolicyLayer and add a rule for list_color_tokens: 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 GDS MCP. Nothing to install.
list_color_tokens 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 list_color_tokens 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 list_color_tokens. 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.
list_color_tokens is provided by the GDS MCP server (supin-kim-ilevit-com/gds-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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