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Aaryan-Kapoor

MCP Character Tools

by Aaryan-Kapoor
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    TDQS

    A3.9/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools have distinct purposes, but char_at (0-based) and nth_character (1-based) could cause confusion, as could check_tricky_word vs get_tricky_words. Otherwise, tools like count_letter, count_letters, and count_substring are clearly differentiated.

    Naming Consistency3/5

    Tool names follow a verb_noun pattern but vary in detail (e.g., 'char_at' is abbreviated, 'nth_character' is more descriptive, 'letter_frequency' is noun_noun). Inconsistent use of 'count_letter' vs 'count_letters' and 'get_tricky_words' vs 'check_tricky_word' adds to the mixed style.

    Tool Count5/5

    14 tools is well-scoped for a character analysis server. Each tool serves a specific purpose (counting, indexing, frequency, tricky words, reversing, etc.) without being redundant or too many.

    Completeness4/5

    The set covers core character operations like counting, indexing, frequency, and substring analysis. Minor gaps exist (e.g., no case conversion or word-level tokenization beyond length), but the domain is well-served for typical letter-counting tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources