dstools
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Logging verbosity | INFO |
| VISION_MODEL | No | e.g. gpt-4o, qwen-vl-max, glm-4v, a local qwen2.5-vl via Ollama | |
| DEEPSEEK_MODEL | No | Synthesis / heavy model | deepseek-v4-pro |
| RESEARCH_DEPTH | No | Research rounds | 2 |
| TAVILY_API_KEY | No | Required if SEARCH_PROVIDER=tavily | |
| VISION_API_KEY | No | Key for the vision endpoint | |
| SEARCH_PROVIDER | No | duckduckgo (keyless) / tavily | duckduckgo |
| VISION_BASE_URL | No | OpenAI-compatible vision endpoint (any multimodal model) | |
| DEEPSEEK_API_KEY | No | DeepSeek API key (required for deep_research) | |
| RESEARCH_BREADTH | No | Sub-queries generated per round | 3 |
| DEEPSEEK_BASE_URL | No | OpenAI-compatible endpoint | https://api.deepseek.com |
| DEEPSEEK_THINKING | No | auto/on/off — V4 thinking mode for hard steps | auto |
| DEEPSEEK_FAST_MODEL | No | Cheap sub-step model | deepseek-v4-flash |
| RESEARCH_MAX_SOURCES | No | Pages fetched & synthesised | 8 |
| DEEPSEEK_REASONING_EFFORT | No | low/medium/high | high |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageA | Understand an image and return a detailed text description. Use this when you need to "see" an image — DeepSeek-V4 cannot read images
directly. Accepts an image as a local file path, an HTTP(S) URL, a data URI,
or a base64 string. Optionally pass |
| ocr_imageA | Extract readable text from an image (OCR). Accepts a file path, URL, data URI, or base64 string. Uses local Tesseract
when installed; otherwise falls back to the configured vision provider.
|
| web_searchA | Search the web and return ranked results (title, URL, snippet). Use this for live, up-to-date information. Returns up to |
| fetch_pageA | Fetch a web page and return clean, readable Markdown. Use this to read the full content of a URL (e.g. a search result). Strips
navigation/ads and extracts the main article text. Output is capped to
|
| deep_researchA | Run a multi-step deep-research investigation and return a cited report. Pipeline: decompose Tunables (0 = use defaults from config): |
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 5 tools
Each tool has a clearly distinct purpose: analyzing images, deep research, fetching web pages, OCR, and web search. Even the two image-related tools (analyze_image and ocr_image) are differentiated by their function (understanding vs. text extraction).
All tool names follow a consistent verb_noun pattern using underscores (e.g., analyze_image, deep_research, fetch_page, ocr_image, web_search). No mixing of conventions.
With 5 tools, the server is well-scoped for its purpose as a utility toolkit covering image analysis, OCR, web search, web fetching, and deep research. The count is neither too thin nor excessive.
The tool set covers core image and web tasks comprehensively, though it might benefit from a summarization or comparison tool. No major gaps for its stated domain.