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nikhilkatyan

OptionContext

by nikhilkatyan
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Python
Remote

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    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool serves a clearly distinct purpose: market context for a single symbol, batch market context, option chain, historical data, symbol search, and API key info. The single versus batch distinction is clear, and option chain/historical data are fundamentally different data types.

    Naming Consistency4/5

    All tools use lowercase snake_case, and five of six follow a consistent 'get_' prefix pattern. The exception is 'suggest_symbols', which still uses a verb but deviates from the 'get_' convention, making it slightly inconsistent.

    Tool Count5/5

    Six tools is well within the ideal range for a market data server. Each tool covers a necessary function without unnecessary bloat, making the count appropriate for the server's stated purpose.

    Completeness5/5

    The tool surface covers the core needs of a market data context server: live quotes (single and batch), option chains, historical data, symbol resolution, and API key validation. No obvious dead ends or missing operations for the intended use case.

    Resources