{
    "action": "tool_call",
    "reasoning": "I've already inspected both tables' columns and run a validation query that found zero-rank records with points. Now I need to investigate the temporal consistency (WeekNum/MonthNum/YearNum relationships), check for duplicate rankings at the same time point, examine the Previous/Previous Points consistency, and look at the Gender field values since both tables show ~3 distinct values when we'd expect 1-2 for gender.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'ittf_rankings' as table_name, Gender, COUNT(*) as count FROM raw.ittf_rankings GROUP BY Gender UNION ALL SELECT 'ittf_rankings_women', Gender, COUNT(*) FROM raw.ittf_rankings_women GROUP BY Gender ORDER BY table_name, Gender",
        "purpose": "Check what the 3 distinct Gender values are in each table and their distribution",
        "source": "raw"
    }
}