{
    "action": "tool_call",
    "reasoning": "No evidence is available in this turn, so I will recompute the numeric profile of Founded and Amount across all five monthly tables in one query before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT CAST(Founded AS VARCHAR) AS f, Amount AS a FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT CAST(Founded AS VARCHAR), Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT CAST(Founded AS VARCHAR), Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT CAST(Founded AS VARCHAR), Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT CAST(Founded AS VARCHAR), Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\"), c AS (SELECT TRY_CAST(f AS BIGINT) AS founded, TRY_CAST(REPLACE(REPLACE(a, '$', ''), ',', '') AS DOUBLE) AS amount FROM u) SELECT COUNT(*) AS total_rows, COUNT(founded) AS founded_usable, MIN(founded) AS founded_min, quantile_cont(founded, 0.25) AS founded_p25, MEDIAN(founded) AS founded_median, AVG(founded) AS founded_mean, quantile_cont(founded, 0.75) AS founded_p75, MAX(founded) AS founded_max, STDDEV(founded) AS founded_sd, COUNT(amount) AS amount_usable, MIN(amount) AS amount_min, quantile_cont(amount, 0.25) AS amount_p25, MEDIAN(amount) AS amount_median, AVG(amount) AS amount_mean, quantile_cont(amount, 0.75) AS amount_p75, MAX(amount) AS amount_max, STDDEV(amount) AS amount_sd FROM c",
        "purpose": "Summary statistics for Founded and Amount across all five monthly tables combined",
        "source": "raw"
    }
}