{
    "action": "tool_call",
    "reasoning": "My earlier draft cited numbers, but I can't see their backing results in the evidence. I'll recompute the numeric profile of Founded and Amount across all five tables in one query so the answer is grounded.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT TRY_CAST(\"Founded\" AS BIGINT) AS founded, \"Amount\" AS amt 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 founded, TRY_CAST(REPLACE(REPLACE(amt, '$', ''), ',', '') AS DOUBLE) AS amount_usd FROM u) SELECT COUNT(*) AS total_rows, COUNT(founded) AS founded_n, MIN(founded) AS founded_min, MAX(founded) AS founded_max, AVG(founded) AS founded_mean, MEDIAN(founded) AS founded_median, STDDEV(founded) AS founded_sd, QUANTILE_CONT(founded, 0.25) AS founded_p25, QUANTILE_CONT(founded, 0.75) AS founded_p75, COUNT(amount_usd) AS amount_n, MIN(amount_usd) AS amount_min, MAX(amount_usd) AS amount_max, AVG(amount_usd) AS amount_mean, MEDIAN(amount_usd) AS amount_median, STDDEV(amount_usd) AS amount_sd, QUANTILE_CONT(amount_usd, 0.25) AS amount_p25, QUANTILE_CONT(amount_usd, 0.75) AS amount_p75 FROM p",
        "purpose": "Summary statistics for the two numeric fields (Founded year, Amount in USD) across all five monthly tables",
        "source": "raw"
    }
}