{
    "action": "tool_call",
    "reasoning": "The previous query failed because I tried to join tables_catalog with columns_catalog, but columns_catalog doesn't have a phys_type column directly accessible in that context. Looking at the evidence, I already have comprehensive statistics for numeric columns from step-3 and step-4, which show min, max, and avg (mean) for all numeric columns across the dataset. However, I'm missing median and a proper measure of spread (like standard deviation). I need to compute these additional statistics. Let me query the columns_catalog table directly to get median and stddev for all numeric columns.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'analysis_run_llm_usage' as table_name, 'calls' as column_name, MIN(calls) as min_value, MAX(calls) as max_value, AVG(calls) as mean_value, MEDIAN(calls) as median_value, STDDEV(calls) as stddev_value FROM raw.analysis_run_llm_usage UNION ALL SELECT 'analysis_run_llm_usage', 'cost_usd', MIN(cost_usd), MAX(cost_usd), AVG(cost_usd), MEDIAN(cost_usd), STDDEV(cost_usd) FROM raw.analysis_run_llm_usage UNION ALL SELECT 'analysis_run_llm_usage', 'input_tokens', MIN(input_tokens), MAX(input_tokens), AVG(input_tokens), MEDIAN(input_tokens), STDDEV(input_tokens) FROM raw.analysis_run_llm_usage UNION ALL SELECT 'analysis_run_llm_usage', 'output_tokens', MIN(output_tokens), MAX(output_tokens), AVG(output_tokens), MEDIAN(output_tokens), STDDEV(output_tokens) FROM raw.analysis_run_llm_usage UNION ALL SELECT 'analysis_runs', 'cost_compute_seconds', MIN(cost_compute_seconds), MAX(cost_compute_seconds), AVG(cost_compute_seconds), MEDIAN(cost_compute_seconds), STDDEV(cost_compute_seconds) FROM raw.analysis_runs UNION ALL SELECT 'analysis_runs', 'total_cost_usd', MIN(total_cost_usd), MAX(total_cost_usd), AVG(total_cost_usd), MEDIAN(total_cost_usd), STDDEV(total_cost_usd) FROM raw.analysis_runs UNION ALL SELECT 'analysis_runs', 'total_input_tokens', MIN(total_input_tokens), MAX(total_input_tokens), AVG(total_input_tokens), MEDIAN(total_input_tokens), STDDEV(total_input_tokens) FROM raw.analysis_runs UNION ALL SELECT 'analysis_runs', 'total_output_tokens', MIN(total_output_tokens), MAX(total_output_tokens), AVG(total_output_tokens), MEDIAN(total_output_tokens), STDDEV(total_output_tokens) FROM raw.analysis_runs UNION ALL SELECT 'batches', 'elapsed_ms', MIN(elapsed_ms), MAX(elapsed_ms), AVG(elapsed_ms), MEDIAN(elapsed_ms), STDDEV(elapsed_ms) FROM raw.batches UNION ALL SELECT 'batches', 'total_bytes', MIN(total_bytes), MAX(total_bytes), AVG(total_bytes), MEDIAN(total_bytes), STDDEV(total_bytes) FROM raw.batches UNION ALL SELECT 'batches', 'total_rows', MIN(total_rows), MAX(total_rows), AVG(total_rows), MEDIAN(total_rows), STDDEV(total_rows) FROM raw.batches",
        "purpose": "Get distribution statistics (min, max, mean, median, stddev) for a sample of key numeric columns across major tables",
        "source": "raw"
    }
}