search_usecases and hybrid_search_usecases are nearly the same operation—both perform hybrid full-text/vector ranking—and the only clear distinction is that the latter adds filters. An agent will struggle to know which to choose. vector_search_usecases and get_usecase_details are distinct, but the overlapping search tools create real ambiguity.

All tool names follow a consistent verb_noun snake_case pattern: search_usecases, hybrid_search_usecases, vector_search_usecases, get_usecase_details. The prefixes and suffixes are predictable and readable.

Four tools is a reasonable size for a focused use-case search and detail server. However, one of the four tools is largely redundant with another, so the count is slightly padded rather than perfectly minimal.

The server covers the core workflow of discovering AI use cases via search and then fetching full details. It lacks an explicit browse/list-all or filter-only endpoint, but the search tools likely handle most discovery needs, so the gaps are minor.