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Scored across 24 tools
Most tools have distinct purposes focused on specific baseball statistics domains (batting, pitching, fielding, team stats), but there is some overlap between tools like 'statcast_batter_expected_stats' and 'expected_stats_batch' that could cause confusion about when to use each. The descriptions help clarify, but an agent might need to carefully parse the differences.
Tool names follow a consistent snake_case pattern throughout, with clear descriptive naming (e.g., 'batter_percentile_ranks', 'statcast_pitcher_arsenal_stats'). There are minor deviations like 'player_lookup' (more generic) and 'statcast_search' (broader scope), but overall the naming is predictable and well-structured.
With 24 tools, the count feels heavy for a Statcast-focused server, though it covers a comprehensive range of baseball analytics. Some tools could potentially be consolidated (e.g., multiple expected stats tools), making the surface somewhat bloated compared to a more streamlined set.
The tool set provides excellent coverage of baseball statistics, including batting, pitching, fielding, team stats, and player lookup across multiple data sources (Statcast, FanGraphs, Baseball Reference). There are no obvious gaps—it supports detailed analysis, comparisons, and historical queries with flexible date ranges and filtering options.