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danchev

openmarkets

by danchev
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Python
Remote

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    Deploy Server
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    TDQS

    B3/5.0

    Scored across 71 tools

    Disambiguation3/5

    Many tools have overlapping purposes (e.g., multiple 'get_price_target' tools, various 'get_industry_top_*' tools, and several 'get_full_*' aggregators). While descriptions help differentiate, some ambiguity remains, requiring careful selection.

    Naming Consistency4/5

    All tools use a consistent 'get_' prefix with snake_case naming, making the pattern predictable. However, some names are vague (e.g., 'get_info' vs 'get_fast_info') and could be more descriptive.

    Tool Count2/5

    71 tools is excessive for a typical server. While the domain (financial data) is broad, many tools could be consolidated or grouped. The high count may overwhelm agents.

    Completeness4/5

    The tool set covers a wide range of financial data: stocks, funds, crypto, sectors, industries, options, technical analysis, etc. Minor gaps exist (e.g., no historical options data), but overall it is comprehensive for a data retrieval server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources