@mcpx-digital/csv-tools
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TDQS
Scored across 6 tools
Most tools target distinct operations (convert, sample, find duplicates, validate, schema check). However, validate_csv and schema_check overlap somewhat since both assess CSV structure/quality, though they focus on different aspects (structure vs. column requirements/types). The descriptions help distinguish them.
Five tools follow snake_case with clear verb_noun or noun patterns (json_to_csv, csv_to_json, validate_csv, sample_rows, find_duplicate_keys), but schema_check lacks a verb and uses a different construction, introducing minor inconsistency.
Six tools is well-scoped for a CSV utility server. Each tool covers a distinct common CSV task (conversion, sampling, duplication detection, validation, schema checking), earning its place without redundancy.
The surface covers key CSV operations: conversion both ways, sampling, duplicate detection, validation, and schema checking. Minor gaps include a dedicated CSV writing/transformation tool (e.g., filter columns, sort) or a dedicated row/column manipulation tool, but core workflows are well supported.