{
    "action": "tool_call",
    "reasoning": "No query results are in evidence yet, so I can't cite the earlier figures. First I'll get the per-month round counts and see how the Amount strings are formatted, so I can judge whether value totals can be parsed reliably.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS m, 1 AS o, \"Company Name\" AS c, Amount AS a FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', 2, \"Company Name\", Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', 3, \"Company Name\", Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', 4, \"Company Name\", Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', 5, \"Company Name\", Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT m AS month, COUNT(*) AS total_rows, COUNT(c) AS rows_with_company, COUNT(a) AS rows_with_amount, SUM(CASE WHEN a ILIKE '%undisclosed%' THEN 1 ELSE 0 END) AS undisclosed, SUM(CASE WHEN a LIKE '$%' THEN 1 ELSE 0 END) AS dollar_prefixed, MIN(a) AS sample_min, MAX(a) AS sample_max FROM u GROUP BY m, o ORDER BY o",
        "purpose": "Monthly round counts and Amount field completeness/format",
        "source": "raw"
    }
}