{
    "action": "tool_call",
    "reasoning": "No query results are visible in the evidence, so I will ground the monthly deal count and amount coverage with one UNION query across the five monthly tables before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'January' AS month, 1 AS m, COUNT(*) AS rounds, COUNT(CASE WHEN Amount LIKE '$%' THEN 1 END) AS rounds_with_amount, COUNT(CASE WHEN Amount = 'Undisclosed' THEN 1 END) AS undisclosed FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'February', 2, COUNT(*), COUNT(CASE WHEN Amount LIKE '$%' THEN 1 END), COUNT(CASE WHEN Amount = 'Undisclosed' THEN 1 END) FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'March', 3, COUNT(*), COUNT(CASE WHEN Amount LIKE '$%' THEN 1 END), COUNT(CASE WHEN Amount = 'Undisclosed' THEN 1 END) FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'April', 4, COUNT(*), COUNT(CASE WHEN Amount LIKE '$%' THEN 1 END), COUNT(CASE WHEN Amount = 'Undisclosed' THEN 1 END) FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', 5, COUNT(*), COUNT(CASE WHEN Amount LIKE '$%' THEN 1 END), COUNT(CASE WHEN Amount = 'Undisclosed' THEN 1 END) FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\" ORDER BY m",
        "purpose": "Monthly deal counts and amount disclosure coverage across the five monthly tables",
        "source": "raw"
    }
}