dyslexiasteps-mcp
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TDQS
Scored across 6 tools
Each tool has a reasonably distinct role: listing lists versus fetching one full list is clearly separated, and get_words_for_grade versus find_words differ by retrieval axis (grade aggregation vs. letter-pattern search). The only mild overlap is between get_words_for_grade and find_words, since both return word sets and could both be filtered by section, but the descriptions make the boundary readable.
All six tools follow a clean snake_case verb_noun pattern (get_/list_/find_ + resource), with resource names matching the domain vocabulary used in descriptions. There is no mixing of camelCase or vague verbs.
Six tools is well-scoped for a read-only word-list dataset: list, detail, grade aggregation, pattern search, citation/license, and methodology. Nothing feels padded or missing at the count level.
The surface covers discovery, full data retrieval, grade-based and pattern-based search, plus license and placement-provenance metadata, leaving no major dead ends for a read-only corpus. Minor gaps remain, such as a direct single-word lookup across lists and richer filters (length, group/family), which agents could approximate only awkwardly via find_words.