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Scored across 5 tools
Most tools have distinct purposes, but datastore_filter and datastore_query overlap significantly in functionality, which could cause confusion. The other tools (count, get, list_kinds) are clearly differentiated, but the boundary between filtering and querying is ambiguous.
All tool names follow a consistent datastore_verb_noun pattern with snake_case, making them predictable and easy to understand. The naming convention is uniform across all five tools, with no deviations in style or structure.
Five tools is a reasonable number for a datastore server, providing core operations like count, get, list, filter, and query. It's slightly lean but covers essential functions without being overwhelming, though it might benefit from additional CRUD operations for completeness.
The toolset includes read operations (get, filter, query, count, list) but lacks create, update, and delete tools, which are fundamental for a datastore's lifecycle. This gap limits agents to querying and reading data without the ability to modify it, making the surface notably incomplete for full datastore management.