{
    "action": "tool_call",
    "reasoning": "I need to identify all numeric columns in the benchmarks table and compute their distribution statistics (min, max, mean, median, spread/stddev) in a single query. From the inspect_columns results, I can see several numeric columns: 'Best score (across scorers)' (DOUBLE), and the card mentions measures like 'Batch size', 'Citations', 'Finetune compute (FLOP)', 'Hardware quantity', 'Hardware utilization', 'Parameters', 'Training compute (FLOP)', 'Training compute cost (2023 USD)', 'Training dataset size (datapoints)', 'best_score', 'mean_score', 'stderr'. I need to see all 69 columns to identify every numeric one, then write one SELECT with aggregates for all of them.",
    "tool": "inspect_columns",
    "args": {
        "table": "benchmarks"
    }
}