{
    "action": "tool_call",
    "reasoning": "No query has been run yet, so none of the numbers in my earlier draft are grounded. I'll count Location across all five monthly tables with one UNION ALL query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allrows AS (SELECT Location FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT Location FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT Location FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT Location FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT Location FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT COALESCE(NULLIF(TRIM(Location), ''), '(blank)') AS location, COUNT(*) AS rows_n, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 1) AS pct FROM allrows GROUP BY 1 ORDER BY rows_n DESC LIMIT 25",
        "purpose": "Distribution of startup Location across all five monthly tables combined",
        "source": "raw"
    }
}