Each of the 6 tools has a unique, non-overlapping purpose: four discovery endpoints (questions/articles/users/topics) and two retrieval endpoints (full text/comments). The overlap-prone tool is get_fulltext, which gracefully handles multiple URL types through explicit, well-documented auto-detection rather than ambiguity. The distinct search_* endpoints use the resource type (question/article/user/topic) as an unambiguous differentiator.

All tools consistently follow a lowercase snake_case verb_noun convention. The 'search_' prefix uniformly denotes list-returning queries, while 'get_' denotes content retrieval with a specific identifier, which is a clear and conventional semantic split. No mixing of casing styles or verb forms exists, creating a predictable, learnable API.

Six tools is a well-scoped number for this domain: each tool serves a distinct, non-overlapping function, avoiding both under-powered overloading and needless fragmentation. The search endpoints could theoretically be merged, but keeping them separate preserves type-specific return schemas (e.g., questions include answer count, articles include author/abstract) without parameter bloat. Similarly, get_fulltext's auto-detection responsibly consolidates several potential get_* tools into one ergonomic interface.

For a read-only scraper, the surface is well-considered, covering discovery (all four primary Zhihu entities), full-content retrieval, and comment trees, which addresses the core use cases end-to-end. Minor gaps exist, such as no dedicated structured user profile endpoint or trending/hot-topic access, but these fall outside the stated purpose. Overall, the 4 search + 2 fetch design is coherent and fully functional for its intended role.