I need to examine the complete time series to identify all notable spikes, dips, and breaks. The evidence shows monthly match counts, but the results are truncated at 50 rows. Let me get the full picture. ```json { "action": "tool_call", "reasoning": "The previous queries returned truncated results (50 rows). I need to see the complete time series to identify all spikes and dips. I'll query for the full monthly aggregation without a LIMIT, and also get summary statistics to understand what constitutes 'notable' variations.", "tool": "query_sql", "args": { "sql": "WITH monthly AS (SELECT DATE_TRUNC('month', STRPTIME(date, '%d %B %Y')) as month, COUNT(*) as match_count FROM raw.popular_matches GROUP BY DATE_TRUNC('month', STRPTIME(date, '%d %B %Y'))) SELECT month, match_count FROM monthly ORDER BY month", "purpose": "Get complete monthly time series of match counts to identify all spikes, dips, and breaks", "source": "raw" } } ```