{
    "action": "tool_call",
    "reasoning": "I need to check the ranges and distributions of key numeric measures to identify outliers and impossible values. The previous query was truncated. Let me query the numeric columns with proper quoting.",
    "tool": "query_sql",
    "purpose": "Check ranges and distributions of key numeric measures to identify outliers and impossible values",
    "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 '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"
}