{
    "action": "tool_call",
    "reasoning": "The evidence shows 97 distinct dates with deal activity from 1/1/23 to 9/7/23. I can see two massive outliers in the sample: 1/23/23 with $10B and 3/15/23 with $6.5B. To identify all notable spikes and dips comprehensively, I need to aggregate by month to see the overall pattern, then identify the specific dates with the largest deals. Let me query for monthly totals and the top individual deal dates.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH monthly AS (SELECT SUBSTRING(\"Date reported\", INSTR(\"Date reported\", '/') + 1) as month_year, COUNT(*) as deal_count, SUM(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS BIGINT)) as total_amount FROM raw.\"Largest US Venture Funding Deals Of 2023\" GROUP BY month_year), top_dates AS (SELECT \"Date reported\", COUNT(*) as deals, SUM(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS BIGINT)) as amount FROM raw.\"Largest US Venture Funding Deals Of 2023\" GROUP BY \"Date reported\" ORDER BY amount DESC LIMIT 10) SELECT 'Monthly' as view_type, month_year as period, deal_count, total_amount FROM monthly UNION ALL SELECT 'Top Dates' as view_type, \"Date reported\" as period, deals as deal_count, amount as total_amount FROM top_dates ORDER BY view_type, total_amount DESC",
        "purpose": "Get monthly aggregates to see overall trend, plus top 10 dates by total funding to identify spikes",
        "source": "raw"
    }
}