@theyahia/gigachat-mcp
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TDQS
Scored across 8 tools
Each tool targets a distinct GigaChat capability: file upload, token counting, image generation, balance check, assistant listing, embedding, chat, and model listing. The purposes are clearly separated with no overlapping operations, making it easy for an agent to select the right tool.
All tool names follow a consistent verb_noun pattern, such as 'get_token_count', 'generate_image', 'list_assistants', and 'embed_text'. Even the single-word 'chat' fits the pattern as a clear action. There are no style inconsistencies or mixed conventions.
With 8 tools, the set is well-scoped for a comprehensive GigaChat client. Each tool covers a core API operation without redundancy or bloat, staying well within the ideal range for clarity and maintainability.
The toolset covers all major GigaChat features: text generation, embeddings, image generation, token counting, balance, model and assistant listing, and file upload. Minor gaps exist, such as missing assistant creation or management operations, but agents can still accomplish most workflows without dead ends.