{
    "action": "tool_call",
    "reasoning": "My earlier draft cited steps I can't see in the evidence, so I'll recompute the missing counts. One query covers all five months, counting NULL, blank and '[]' values as missing, with a rollup for the total.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'January' AS month, \"Company Name\" AS c, CAST(\"Founded\" AS VARCHAR) AS f, \"Location\" AS l, \"Sector\" AS s, \"What it does\" AS w, \"Founders\" AS fo, \"Investor\" AS i, \"Amount\" AS a, \"Stage\" AS st FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'February', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'March', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'April', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT COALESCE(month, 'ALL MONTHS') AS month, COUNT(*) AS total_rows, SUM(CASE WHEN c IS NULL OR TRIM(c) IN ('', '[]') THEN 1 ELSE 0 END) AS company_missing, SUM(CASE WHEN f IS NULL OR TRIM(f) IN ('', '[]') THEN 1 ELSE 0 END) AS founded_missing, SUM(CASE WHEN l IS NULL OR TRIM(l) IN ('', '[]') THEN 1 ELSE 0 END) AS location_missing, SUM(CASE WHEN s IS NULL OR TRIM(s) IN ('', '[]') THEN 1 ELSE 0 END) AS sector_missing, SUM(CASE WHEN w IS NULL OR TRIM(w) IN ('', '[]') THEN 1 ELSE 0 END) AS what_it_does_missing, SUM(CASE WHEN fo IS NULL OR TRIM(fo) IN ('', '[]') THEN 1 ELSE 0 END) AS founders_missing, SUM(CASE WHEN i IS NULL OR TRIM(i) IN ('', '[]') THEN 1 ELSE 0 END) AS investor_missing, SUM(CASE WHEN a IS NULL OR TRIM(a) IN ('', '[]') THEN 1 ELSE 0 END) AS amount_missing, SUM(CASE WHEN st IS NULL OR TRIM(st) IN ('', '[]') THEN 1 ELSE 0 END) AS stage_missing FROM u GROUP BY ROLLUP(month) ORDER BY total_rows DESC",
        "purpose": "Count missing values (NULL, blank, or '[]' placeholders) per column per month and overall",
        "source": "raw"
    }
}