{
    "action": "tool_call",
    "reasoning": "I have comprehensive profiling data showing the dataset is clean (no nulls, consistent medal values 1-3, valid Olympic years). Now I need to check for potential data quality issues not visible in aggregates: duplicate medals (same event/year/medal awarded multiple times), inconsistent country naming, medalist name formatting issues, and verify the 1992 anomaly (18 medals vs typical 12) is legitimate rather than a data error.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT year, event, medal, country, COUNT(*) as duplicate_count FROM raw.olympic_table_tennis_medals_1988_2024 GROUP BY year, event, medal, country HAVING COUNT(*) > 1 ORDER BY duplicate_count DESC, year, event",
        "purpose": "Check for duplicate medal awards (same event/year/medal/country combination appearing multiple times, which would indicate data quality issues)",
        "source": "raw"
    }
}