{
    "action": "tool_call",
    "reasoning": "No query results are in evidence, so I can't cite the numbers from my earlier draft. I'll re-run a UNION ALL over the five monthly tables, grouping by Location, to ground the geographic answer.",
    "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 n_rows, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 1) AS pct FROM allrows GROUP BY 1 ORDER BY n_rows DESC LIMIT 30",
        "purpose": "Distribution of funding rows by Location across all five monthly tables",
        "source": "raw"
    }
}