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apify-utils

by moonie0201
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Python
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    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation3/5

    Most tools are distinct, but sports_scores and tennis_scores both consume the same ESPN feed and overlap on tennis coverage, creating real selection ambiguity. The descriptions clarify the difference, but an agent could reasonably choose either tool for a tennis query.

    Naming Consistency3/5

    Names are all snake_case and readable, but conventions are mixed: extract_pdf and list_supported_utilities are verb_noun, while youtube_thumbnails, sports_scores, and tennis_scores are noun phrases. There is no consistent verb_noun pattern across the set.

    Tool Count4/5

    Five tools is a reasonable size for a utility aggregator, and most tools cover substantial functionality. The sports/tennis duplication makes one tool feel slightly redundant, but the count is not bloated or thin.

    Completeness5/5

    Relative to the advertised utilities, the tool surface is well covered: PDF extraction has multiple output modes and OCR, YouTube thumbnails cover sizes and storage, and sports data includes scoreboards, schedules, standings, teams, and summaries. list_supported_utilities prevents dead ends by exposing league keys, pricing, and reachability.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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