{
    "action": "tool_call",
    "reasoning": "Relate Stage to Amount and company age across all five monthly tables, unioned. Amount is VARCHAR so strip $ and commas before casting; use TRY_CAST for safety.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT \"Company Name\" c, TRY_CAST(Founded AS BIGINT) f, Location l, Sector s, Stage st, TRY_CAST(REPLACE(REPLACE(Amount,'$',''),',','') AS DOUBLE) a FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT \"Company Name\", TRY_CAST(Founded AS BIGINT), Location, Sector, Stage, TRY_CAST(REPLACE(REPLACE(Amount,'$',''),',','') AS DOUBLE) FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT \"Company Name\", TRY_CAST(Founded AS BIGINT), Location, Sector, Stage, TRY_CAST(REPLACE(REPLACE(Amount,'$',''),',','') AS DOUBLE) FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT \"Company Name\", TRY_CAST(Founded AS BIGINT), Location, Sector, Stage, TRY_CAST(REPLACE(REPLACE(Amount,'$',''),',','') AS DOUBLE) FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT \"Company Name\", TRY_CAST(Founded AS BIGINT), Location, Sector, Stage, TRY_CAST(REPLACE(REPLACE(Amount,'$',''),',','') AS DOUBLE) FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT st AS stage, COUNT(*) n, COUNT(a) n_with_amount, ROUND(MEDIAN(a)) median_amount, ROUND(AVG(f)) avg_founded FROM u WHERE st IS NOT NULL AND st <> '' GROUP BY st HAVING COUNT(*) >= 5 ORDER BY median_amount DESC NULLS LAST",
        "purpose": "Relate Stage to Amount and company founding year across all months",
        "source": "raw"
    }
}