{
    "action": "tool_call",
    "reasoning": "I can see from the evidence that Amount and Valuation are the two numeric measures in this dataset. Amount appears to be the primary metric (funding amount) with a clear range from $1B to $6.5B and no nulls. Valuation has nulls indicated by 'na'. Amount is the most important metric as it represents the actual funding deal size. Now I need to query the actual records to show the highest and lowest funding deals with their company details.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH ranked AS (SELECT Company, Amount, Industry, \"Date reported\", \"Lead investors\", CAST(REPLACE(REPLACE(Amount, '$', ''), ',', '') AS BIGINT) AS amount_numeric FROM raw.\"Largest US Venture Funding Deals Of 2023\") SELECT Company, Amount, Industry, \"Date reported\", \"Lead investors\" FROM ranked WHERE amount_numeric = (SELECT MAX(amount_numeric) FROM ranked) OR amount_numeric = (SELECT MIN(amount_numeric) FROM ranked) ORDER BY amount_numeric DESC",
        "purpose": "Get the highest and lowest funding deals by Amount with company details",
        "source": "raw"
    }
}