```json { "action": "tool_call", "reasoning": "The dataset card shows three temporal axes: started_at, Version release date, and Publication date. I need to examine the distribution of records over time to identify spikes, dips, or breaks. I'll start by querying the main temporal column (started_at) to see the distribution of benchmarks over time, aggregated by month to identify patterns.", "tool": "query_sql", "args": { "sql": "SELECT DATE_TRUNC('month', started_at) AS month, COUNT(*) AS benchmark_count FROM raw.benchmarks WHERE started_at IS NOT NULL GROUP BY DATE_TRUNC('month', started_at) ORDER BY month", "purpose": "Identify temporal distribution of benchmarks by month using started_at to find spikes, dips, or breaks" } } ```