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Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap. count_gemini_tokens handles token counting, list_gemini_models provides model information, and query_gemini performs AI queries. The descriptions reinforce these distinct roles, making misselection unlikely.
All tools follow a consistent verb_noun pattern with snake_case naming. The verbs (count, list, query) are appropriately chosen for their actions, and the noun (gemini) is consistently included, creating a predictable and readable naming convention throughout.
Three tools is reasonable for a Gemini-focused server, covering token counting, model listing, and querying. While slightly minimal, each tool earns its place and provides distinct functionality. A potential fourth tool for model configuration or advanced settings might be missing, but the core operations are well-represented.
The toolset covers the essential Gemini operations: token management, model discovery, and query execution. Minor gaps include lack of direct model configuration tools or advanced query parameters, but agents can work around these. The surface supports basic to intermediate Gemini interactions effectively.