lanhu_get_preview
Retrieve the preview URL of a design draft from Lanhu by providing the image ID.
Instructions
获取设计稿的预览图 URL。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| imageId | Yes | 设计稿 image_id | |
| projectId | No | 项目 UUID |
Retrieve the preview URL of a design draft from Lanhu by providing the image ID.
获取设计稿的预览图 URL。
| Name | Required | Description | Default |
|---|---|---|---|
| imageId | Yes | 设计稿 image_id | |
| projectId | No | 项目 UUID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as whether it is read-only, what happens on error, or any side effects. The minimal description leaves the agent with little insight into tool 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?
A single, direct sentence with no superfluous words. It is front-loaded and immediately actionable.
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?
No output schema exists, and the description does not explain what the tool returns (e.g., format of the URL, whether it's a direct link or requires further processing). For a tool with no annotations, this is a significant gap.
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 coverage is 100% (both parameters have descriptions in the schema). The description adds no additional meaning beyond what is already in the parameter descriptions, so baseline 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 ('获取...URL') and resource ('设计稿的预览图'), using a specific verb and noun. It distinguishes from sibling tools like lanhu_download_cover which focus on downloading.
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?
No guidance on when to use this tool vs alternatives. The description does not mention prerequisites, limitations, or scenarios where another sibling tool is preferred.
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