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serima

Twitter MCP Server

by serima

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    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: character counting, entity extraction, optimization, and validation. The descriptions specify unique functions, making it easy for an agent to select the right tool without confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., count_tweet_characters, extract_entities, optimize_tweet, validate_tweet). This uniformity enhances readability and predictability across the set.

    Tool Count4/5

    With 4 tools, the count is reasonable for a Twitter utility server, though slightly lean. It covers core text processing tasks but could benefit from additional tools like posting or analytics for a more comprehensive scope.

    Completeness3/5

    The tools provide good coverage for tweet analysis and preparation, but there are notable gaps for a Twitter server, such as missing CRUD operations (e.g., create_tweet, get_timeline) or interaction features (e.g., like, retweet). This limits the server's utility for full Twitter workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues