qwen-mcp
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TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: qwen_vision for image understanding, qwen_search for internet-connected queries, and qwen_chat for general text conversations. There is no overlap in functionality, so an agent can easily select the right tool.
All tools follow a consistent qwen_<capability> naming pattern, using lower_snake_case. The suffix clearly indicates the tool's function, making the naming predictable and uniform.
With 3 tools, the server is tightly scoped for its purpose of providing Qwen model access across vision, search, and chat. Each tool serves a distinct core need without unnecessary bloat.
The set covers the primary use cases for a language model server: image understanding, live information retrieval, and general text tasks. However, missing capabilities like audio processing or multi-turn conversation management are minor gaps that can be worked around.