{
    "action": "tool_call",
    "reasoning": "I need to examine the actual ranges and distributions of key measures to identify outliers and impossible values. Let me query the ranges and distributions of the main numeric measures, checking for outliers and impossible values.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'Max OP/s (log)' as measure, MIN(\"Max OP/s (log)\") as min_val, MAX(\"Max OP/s (log)\") as max_val, AVG(\"Max OP/s (log)\") as avg_val, MEDIAN(\"Max OP/s (log)\") as median_val, STDDEV(\"Max OP/s (log)\") as stddev_val, COUNT(*) as total_count, COUNT(\"Max OP/s (log)\") as non_null_count FROM raw.ai_supercomputers UNION ALL SELECT 'H100 equivalents', MIN(\"H100 equivalents\"), MAX(\"H100 equivalents\"), AVG(\"H100 equivalents\"), MEDIAN(\"H100 equivalents\"), STDDEV(\"H100 equivalents\"), COUNT(*), COUNT(\"H100 equivalents\") FROM raw.ai_supercomputers UNION ALL SELECT 'Chip quantity (primary)', MIN(\"Chip quantity (primary)\"), MAX(\"Chip quantity (primary)\"), AVG(\"Chip quantity (primary)\"), MEDIAN(\"Chip quantity (primary)\"), STDDEV(\"Chip quantity (primary)\"), COUNT(*), COUNT(\"Chip quantity (primary)\") FROM raw.ai_supercomputers UNION ALL SELECT 'Power Capacity (MW)', MIN(\"Power Capacity (MW)\"), MAX(\"Power Capacity (MW)\"), AVG(\"Power Capacity (MW)\"), MEDIAN(\"Power Capacity (MW)\"), STDDEV(\"Power Capacity (MW)\"), COUNT(*), COUNT(\"Power Capacity (MW)\") FROM raw.ai_supercomputers",
        "purpose": "Check ranges and distributions of key measures to identify outliers and impossible values"
    }
}