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Scored across 16 tools
Every tool has a clearly distinct purpose focused on specific statistical calculations or data structure analysis. The tools are well-differentiated by their mathematical functions (mean, median, std, var, etc.) and orientation (column vs. horizontal), with no ambiguity about which tool to use for each operation.
All tools follow a consistent 'data_' prefix with descriptive suffixes that clearly indicate their function. The naming pattern is uniform throughout (snake_case, descriptive terms), making it easy to understand what each tool does from its name alone.
Sixteen tools is slightly high but reasonable for a comprehensive data analysis toolkit. The server covers extensive statistical operations, which justifies the count, though some tools like data_product might be less commonly used compared to core statistics.
The toolset provides complete coverage for data wrangling and statistical analysis, including descriptive statistics (mean, median, std, var), data structure inspection (schema, shape), and specialized calculations (quantiles, horizontal operations). There are no obvious gaps for this domain.