{
    "action": "tool_call",
    "reasoning": "My earlier draft cited figures that are not in the evidence I have now, so I will recompute the Amount format breakdown across all five monthly tables before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'January' AS month, \"Company Name\" AS company, Amount AS amt, Founded::VARCHAR AS founded FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'February', \"Company Name\", Amount, Founded::VARCHAR FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'March', \"Company Name\", Amount, Founded::VARCHAR FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'April', \"Company Name\", Amount, Founded::VARCHAR FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Amount, Founded::VARCHAR FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT month, COUNT(*) AS total_rows, COUNT(*) FILTER (WHERE amt IS NULL OR TRIM(amt) = '') AS blank_amount, COUNT(*) FILTER (WHERE LOWER(TRIM(amt)) = 'undisclosed') AS undisclosed, COUNT(*) FILTER (WHERE regexp_matches(amt, '^\\$[0-9]{1,3}(,[0-9]{3})+$')) AS clean_dollar_commas, COUNT(*) FILTER (WHERE amt IS NOT NULL AND TRIM(amt) <> '' AND LOWER(TRIM(amt)) <> 'undisclosed' AND NOT regexp_matches(amt, '^\\$[0-9]{1,3}(,[0-9]{3})+$')) AS other_formats, COUNT(*) FILTER (WHERE company IS NULL OR TRIM(company) = '') AS blank_company, COUNT(*) - COUNT(DISTINCT company) AS duplicate_company_rows FROM u GROUP BY month ORDER BY CASE month WHEN 'January' THEN 1 WHEN 'February' THEN 2 WHEN 'March' THEN 3 WHEN 'April' THEN 4 ELSE 5 END",
        "purpose": "Profile Amount format consistency, blank company names and duplicates per monthly table"
    },
    "source": "raw"
}