{
    "action": "tool_call",
    "reasoning": "Get overview statistics on scores, models, and tasks to identify potential surprising patterns in the benchmarking data",
    "tool": "query_sql",
    "purpose": "Overview statistics to find anomalies",
    "args": {
        "sql": "SELECT COUNT(*) as total_benchmarks, COUNT(DISTINCT model) as unique_models, COUNT(DISTINCT task) as unique_tasks, COUNT(DISTINCT Organization) as unique_orgs, MIN(\"Best score (across scorers)\") as min_score, MAX(\"Best score (across scorers)\") as max_score, AVG(\"Best score (across scorers)\") as avg_score, MEDIAN(\"Best score (across scorers)\") as median_score, STDDEV(\"Best score (across scorers)\") as stddev_score FROM raw.benchmarks"
    }
}