{
    "action": "tool_call",
    "reasoning": "Compute monthly totals of disclosed USD funding amounts across the five monthly tables to detect value spikes beyond row counts.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT '2022-01' AS m, Amount AS a FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT '2022-02', Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT '2022-03', Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT '2022-04', Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT '2022-05', Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\"), p AS (SELECT m, TRY_CAST(REPLACE(REPLACE(a, '$', ''), ',', '') AS DOUBLE) AS v FROM u WHERE a LIKE '$%') SELECT m, COUNT(*) AS dollar_rounds, SUM(v) AS total_usd, AVG(v) AS avg_usd, MEDIAN(v) AS median_usd, MAX(v) AS max_usd FROM p GROUP BY m ORDER BY m",
        "purpose": "Monthly total, average, median and max disclosed funding in USD",
        "source": "raw"
    }
}