{
    "action": "tool_call",
    "reasoning": "No query results are in evidence for this turn, so I can't reuse the earlier figures. I'll recompute monthly deal counts and Amount coverage across the five tables in one query before answering about trend and seasonality.",
    "tool": "query_sql",
    "args": {
        "source": "raw",
        "purpose": "Monthly deal counts and non-null Amount counts for Jan-May 2022",
        "sql": "SELECT '2022-01 Jan' AS month, COUNT(*) AS rounds, COUNT(Amount) AS rows_with_amount, COUNT(\"Company Name\") AS rows_with_company FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT '2022-02 Feb', COUNT(*), COUNT(Amount), COUNT(\"Company Name\") FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT '2022-03 Mar', COUNT(*), COUNT(Amount), COUNT(\"Company Name\") FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT '2022-04 Apr', COUNT(*), COUNT(Amount), COUNT(\"Company Name\") FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT '2022-05 May', COUNT(*), COUNT(Amount), COUNT(\"Company Name\") FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\" ORDER BY month"
    }
}