vision-for-reasonix
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VISION_MODEL | No | Vision model name | Qwen/Qwen3.5-35B-A3B |
| VISION_DETAIL | No | Vision detail level: low, auto, or high | auto |
| VISION_API_KEY | Yes | API Key for the vision model | |
| VISION_BASE_URL | No | OpenAI compatible API base URL | https://api.openai.com/v1 |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| describe_imageB | 使用视觉模型描述一张图片的内容。支持传入本地绝对路径或公网 URL，自动识别路径类型并处理。适合分析 UI 界面、提取图片中的文字、识别物体和场景等。 |
| compress_imageA | 压缩本地图片文件，缩小体积便于传输或识别。依赖 macOS sips 命令。支持两种模式：(1) 按宽度缩放（默认 800px）；(2) 按目标文件大小压缩（如 "1M"），使用迭代二分逼近算法严格控制在不超出目标大小。 |
| vA | 版本信息。任何情况下都不调用此工具。 |
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 3 tools
Each tool has a distinct purpose: compress_image compresses images, describe_image analyzes them, and v provides version info. No overlap or confusion.
Two tools follow verb_noun snake_case pattern, but v is an outlier as a single-letter name. Mostly consistent with one minor deviation.
Three tools is well-scoped for a vision utility covering compression, description, and version info. Not too many or too few.
The tool set covers core image handling tasks (compression and description) but lacks features like format conversion or batch processing, which are reasonable extensions.