Vellum
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TDQS
Scored across 5 tools
Each tool performs a unique, clearly distinguishable operation: counting metrics, readability assessment, diffing, regex testing, and hashing. There is no overlap or ambiguity between them, so an agent can reliably pick the right tool for a given task.
All tool names follow a consistent verb_noun pattern (count_text, score_readability, diff_texts, test_regex, hash_text) using snake_case throughout. The naming is predictable and immediately conveys the action and object.
With exactly five tools, the server is well-scoped for a text utility purpose. Each tool covers a distinct need without bloat, and the count is within the ideal range for clarity and usability.
The set covers core text analysis and manipulation operations (counting, readability, diffing, regex, hashing). Minor gaps like string transformation or encoding conversion exist, but these are not obvious dead-ends for the primary use cases, so the surface is reasonably complete.