{
    "action": "tool_call",
    "reasoning": "No query results are visible in the evidence, so I will run the location counts across all five monthly tables with one UNION ALL query. The rendered result will back the 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, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 1) AS pct FROM allrows GROUP BY 1 ORDER BY n DESC LIMIT 50",
        "purpose": "Location distribution across all five monthly funding tables",
        "source": "raw"
    }
}