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IrisNyx

coweread

by IrisNyx
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools map cleanly to distinct resources and actions, and descriptions explicitly separate user progress from AI progress and quote-based reviews from chapter-level reviews. Minor ambiguity remains because 'bookmark' is used for both highlights and reading progress, and reading_context overlaps somewhat with get_chapter_text.

    Naming Consistency4/5

    The majority of tools follow a consistent verb_noun pattern like get_*, add_*, list_*, update_*, and remove_*. A few noun-phrase names such as my_reviews, best_bookmarks, and reading_context deviate, and 'bookmark' means two different things across tools.

    Tool Count4/5

    At 16 tools, the server is slightly over the ideal 3-15 range, but each tool appears to serve a distinct purpose in the reading, review, highlight, and comment workflows. No tools feel redundant, so the count is reasonable for the scope.

    Completeness3/5

    The core workflows for reading, writing thoughts, commenting, highlighting, and tracking progress are covered. However, there are notable gaps: no update/delete for reviews or comments, no listing of the user's own highlights, and no book-level metadata tool beyond the shelf list.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources