{
    "action": "tool_call",
    "reasoning": "Founded and Amount are the numeric columns; Amount is VARCHAR so it needs parsing. Compute summary stats across all five monthly tables in one query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allr AS (SELECT TRY_CAST(\"Founded\" AS BIGINT) AS f, \"Amount\" AS a FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\"), p AS (SELECT f, TRY_CAST(REPLACE(REPLACE(a,'$',''),',','') AS DOUBLE) AS amt FROM allr) SELECT 'Founded' AS metric, COUNT(*) AS total_rows, COUNT(f) AS n_valid, MIN(f) AS min_v, MAX(f) AS max_v, ROUND(AVG(f),1) AS mean_v, MEDIAN(f) AS median_v, ROUND(STDDEV(f),1) AS stddev_v, QUANTILE_CONT(f,0.25) AS p25, QUANTILE_CONT(f,0.75) AS p75 FROM p UNION ALL SELECT 'Amount_USD', COUNT(*), COUNT(amt), MIN(amt), MAX(amt), ROUND(AVG(amt),0), MEDIAN(amt), ROUND(STDDEV(amt),0), QUANTILE_CONT(amt,0.25), QUANTILE_CONT(amt,0.75) FROM p",
        "purpose": "Summary statistics for Founded and parsed Amount across all five monthly tables",
        "source": "raw"
    }
}