{
    "action": "tool_call",
    "reasoning": "The dataset has a temporal dimension (Date reported, 1/1/23 to 9/7/23). The previous query failed because Amount is stored as VARCHAR with values like '$1,000,000,000' (with commas and dollar signs). I need to properly parse this format to aggregate funding amounts over time. I'll write SQL that handles the commas and dollar signs correctly, then group by date to identify spikes and dips in funding activity.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT \"Date reported\", COUNT(*) as deal_count, SUM(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS BIGINT)) as total_amount FROM \"raw\".\"Largest US Venture Funding Deals Of 2023\" GROUP BY \"Date reported\" ORDER BY \"Date reported\"",
        "purpose": "Get deal count and total funding amount by date to identify temporal spikes and dips",
        "source": "raw"
    }
}