jl-image-vison
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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_imageA | Analyse an image and return a richly structured description — layout hierarchy, UI components, readable text, interactions, design notes, and accessibility observations. Optimised for UI mockups, HTML/CSS screenshots, Figma exports, dashboards, and web/app interfaces. Accepts a public URL, a local file path, or a base64 data 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 1 tool
With only one tool, there is no possibility of confusion between tools. The tool's purpose is clear and distinct by default.
The single tool 'describe_image' follows a clear verb_noun pattern, and consistency is trivially maintained with only one tool.
A single tool feels thin for a server dedicated to image vision, but the tool is comprehensive and not trivial, making this borderline.
The tool provides a rich analysis covering layout, text, interactions, and accessibility, which covers the primary use case. However, other vision operations like comparison or classification are not available, leaving minor gaps.