{
    "action": "tool_call",
    "reasoning": "I have sample data showing the format of Amount (e.g., '$10,000,000,000' with commas and dollar signs) and Valuation (some 'n/a', some with dollar signs and commas). To find surprising patterns, I need to analyze the full dataset systematically. Let me start by getting distributions across key dimensions: industry concentration, temporal patterns, and the relationship between funding amounts and valuations. I'll query for industry distribution first to see if there's unusual concentration.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Industry, COUNT(*) as deal_count, SUM(CAST(REPLACE(REPLACE(REPLACE(Amount, '$', ''), ',', ''), ' ', '') AS BIGINT)) as total_funding FROM raw.\"Largest US Venture Funding Deals Of 2023\" GROUP BY Industry ORDER BY deal_count DESC LIMIT 20",
        "purpose": "Get industry distribution to identify concentration patterns",
        "source": "raw"
    }
}