{
    "action": "tool_call",
    "reasoning": "No query results are in evidence yet, so I can't cite any numbers. I'll start with the funding-stage distribution across all five monthly tables in one UNION query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allrows AS (SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT COALESCE(NULLIF(TRIM(Stage), ''), '(blank)') AS stage, COUNT(*) AS rows_n FROM allrows GROUP BY 1 ORDER BY rows_n DESC",
        "purpose": "Stage distribution across all months to test stage as a natural segmentation axis",
        "source": "raw"
    }
}