{
    "action": "tool_call",
    "reasoning": "I've found several data quality issues from the initial profiling: 9,436 null birth years (25% of rows), 230 birth years of 0, 109 empty associations, 124 empty activities, and 28,113 empty values (~75%) in playing hand, style, and grip. Now I need to investigate the birth year outliers more deeply to see the distribution of problematic values, check if there are any other impossible birth years beyond 0, and examine the empty string patterns in the categorical fields.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Birth_year, COUNT(*) as count FROM raw.ittf_player_info WHERE Birth_year IS NOT NULL AND (Birth_year < 1900 OR Birth_year = 0 OR Birth_year > 2024) GROUP BY Birth_year ORDER BY Birth_year",
        "purpose": "Identify all outlier birth years (pre-1900, zero, or future) with their frequencies",
        "source": "raw"
    }
}