Logo-Analyze
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| XBY_APIKEY | Yes | 你的实际apikey (Your actual API key) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_best_logo_urlC | 从网站提取并返回最佳Logo的URL地址，适用于只需要获取最佳Logo URL的场景 |
| analyze_logoB | 分析Logo的基本信息（尺寸、格式、质量等），支持onlyBestUrl参数只返回最佳Logo的URL |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have significant overlap in purpose, as both can return the best logo URL. 'analyze_logo' does this optionally via a parameter, while 'get_best_logo_url' is dedicated to it, creating ambiguity about which to use for that specific task. Their descriptions suggest different primary functions (analysis vs. extraction), but the shared capability blurs the boundaries.
Both tools use a clear verb_noun pattern ('analyze_logo' and 'get_best_logo_url'), making them readable and predictable. The naming is mostly consistent, with minor deviations in verb choice ('analyze' vs. 'get') that reflect their different focuses but don't break the overall pattern.
With only 2 tools, the server feels under-scoped for a logo analysis domain. This limited set may not cover essential operations like logo validation, comparison, or batch processing, making it thin and potentially incomplete for typical agent workflows in this area.
The tool surface has significant gaps for logo analysis. It lacks basic CRUD operations (e.g., no upload, delete, or update tools) and misses common functionalities like logo format conversion, color analysis, or batch processing. The two tools provide limited coverage, likely causing agent failures in broader tasks.