Terse
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TDQS
Scored across 7 tools
Each tool targets a distinct operation: eval (run code), parse (produce AST), transpile (emit Python), tokens (count), and three clearly-scoped alias operations. There is no meaningful overlap—parse vs eval vs transpile are different outputs despite all consuming Terse source. An agent can pick the right tool unambiguously.
Every tool carries the terse_ prefix, which gives strong family cohesion. The alias group (terse_alias_list/define/clear) uses a group_verb form while the core operations (terse_eval/parse/transpile/tokens) use prefix_verb, a minor deviation but still readable and predictable.
Seven tools is well within the ideal range and each earns its place: four core language operations plus three alias lifecycle tools. Nothing feels padded or missing at the count level.
The language-tooling domain is well covered: eval, parse, transpile, token counting, plus alias define/list/clear. The one gap is granular alias management—there is no way to remove or inspect a single alias, only clear-all—but this is a minor workaroundable omission.