{
    "action": "tool_call",
    "reasoning": "I have good context on the scores table (game-level data from 2010-2026, 5,348 completed games). Now I need to understand what the play-by-play data enables. Let me check the scoring play patterns and drive characteristics to identify what granular questions are possible. I'll look at scoring play frequency and types to see what analytical depth exists.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT IsScoringPlay, COUNT(*) as play_count, COUNT(DISTINCT CONCAT(Season, Week, AwayTeam, HomeTeam)) as game_count FROM raw.2023_plays GROUP BY IsScoringPlay",
        "purpose": "Understand the ratio of scoring to non-scoring plays and how many games are covered in the play-by-play data",
        "source": "raw"
    }
}