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Scored across 15 tools
Each tool targets a distinct operation, and the few potential pairs are explicitly differentiated in the descriptions: json_query (single path) vs json_pick (multiple paths), date_calc (interval) vs date_add (offset), regex_extract (apply) vs regex_analyze (static ReDoS analysis), and fuzzy_match (many candidates) vs similarity (one comparison). An agent can reliably pick the right tool for each intent.
All names use consistent snake_case, mostly following a noun_verb or verb_noun pattern (json_validate, date_add, regex_extract, parse_table, base_convert). A few single-word nouns (hash, similarity, convert) break the strict action-oriented pattern slightly, but the set is uniformly readable.
Fifteen tools sit comfortably in the well-scoped range, and each one covers a genuinely distinct capability (hashing, diffing, JSON, dates, regex, similarity, delimited parsing, unit and base conversion). No tool feels redundant or filler.
As a general text/data utility toolkit it covers its sub-domains well: JSON validate/query/pick, date arithmetic both directions, regex matching plus safety analysis, similarity, parsing and conversions. Minor gaps remain within sub-domains (e.g. no JSON formatting/minify or general string encoding/decoding), but core workflows have no dead ends.