{
    "action": "tool_call",
    "reasoning": "Amount is the sole measure and is stored as text in every monthly table. I'll parse it to a number across all five tables and pull the top 5 and bottom 5 rounds.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH a AS (SELECT 'Jan 2022' AS month, \"Company Name\" AS company, Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\"), p AS (SELECT *, TRY_CAST(REPLACE(REPLACE(Amount,'$',''),',','') AS DOUBLE) AS usd FROM a), r AS (SELECT *, ROW_NUMBER() OVER (ORDER BY usd DESC) AS rk_hi, ROW_NUMBER() OVER (ORDER BY usd ASC) AS rk_lo FROM p WHERE usd IS NOT NULL) SELECT CASE WHEN rk_hi<=5 THEN 'highest' ELSE 'lowest' END AS side, month, company, Sector, Stage, Amount, usd FROM r WHERE rk_hi<=5 OR rk_lo<=5 ORDER BY usd DESC",
        "purpose": "Top 5 and bottom 5 funding amounts across all months",
        "source": "raw"
    }
}