lanhu_get_tokens
Extract Design Tokens such as color variables from Lanhu design spec data for automated design-to-code workflows.
Instructions
从设计稿标注数据中提取 Design Tokens(颜色变量等)。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | No | 项目 UUID |
Extract Design Tokens such as color variables from Lanhu design spec data for automated design-to-code workflows.
从设计稿标注数据中提取 Design Tokens(颜色变量等)。
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | No | 项目 UUID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavioral traits. However, it only states the basic functionality. There is no mention of safety traits (e.g., read-only, destructive) or any side effects, which leaves the agent uncertain about the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. It is concise and to the point.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has one parameter, no output schema, and no annotations, the description is minimal but still adequate for a simple extraction operation. However, it lacks details about the output format, which may be necessary for proper use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the single parameter 'projectId', and the description does not add any additional meaning beyond the schema. Baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action 'extract' and the resource 'Design Tokens (color variables, etc.)' from a specific source (design draft annotation data). This distinguishes it from sibling tools that focus on other tasks like downloading, generating code, or getting annotations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention any preconditions, exclusions, or scenarios where other tools would be more appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/DC911360/lanhu-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server