{
    "action": "tool_call",
    "reasoning": "There is no evidence from earlier queries in this turn, so I can't reuse the numbers from my unparsed reply. I'll first check the raw Amount and Stage formats across the monthly tables, then compute the correlations.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT Founded::VARCHAR AS Founded, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT Founded::VARCHAR, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT Founded::VARCHAR, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT Founded::VARCHAR, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT Founded, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT Stage, COUNT(*) AS n, MIN(Amount) AS sample_amount_min, MAX(Amount) AS sample_amount_max FROM u GROUP BY Stage ORDER BY n DESC",
        "purpose": "Inspect Stage values and Amount formats pooled across the five monthly tables before computing correlations",
        "source": "raw"
    }
}