{
    "action": "tool_call",
    "reasoning": "I have no executed evidence for the location figures in my earlier draft, so I need to compute them. This query pools Location across the five monthly tables and counts rows per location.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH all_rows 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 Location, COUNT(*) AS rounds, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 1) AS pct FROM all_rows GROUP BY Location ORDER BY rounds DESC LIMIT 30",
        "purpose": "Pooled distribution of startup funding rounds by Location across Jan-May 2022",
        "source": "raw"
    }
}