{
    "action": "tool_call",
    "reasoning": "The evidence block is empty, so I can't rely on the earlier step numbers. I'll recompute missing values (NULL or blank) per column across all five tables in one query, split by month.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS m, \"Company Name\" AS cn, CAST(Founded AS VARCHAR) AS fo, Location AS lo, Sector AS se, \"What it does\" AS wi, Founders AS fd, Investor AS inv, Amount AS am, Stage AS st FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"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 'Mar', \"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 'Apr', \"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 m AS month, COUNT(*) AS total_rows, SUM(CASE WHEN cn IS NULL OR TRIM(cn)='' THEN 1 ELSE 0 END) AS miss_company, SUM(CASE WHEN fo IS NULL OR TRIM(fo)='' THEN 1 ELSE 0 END) AS miss_founded, SUM(CASE WHEN lo IS NULL OR TRIM(lo)='' THEN 1 ELSE 0 END) AS miss_location, SUM(CASE WHEN se IS NULL OR TRIM(se)='' THEN 1 ELSE 0 END) AS miss_sector, SUM(CASE WHEN wi IS NULL OR TRIM(wi)='' THEN 1 ELSE 0 END) AS miss_what_it_does, SUM(CASE WHEN fd IS NULL OR TRIM(fd)='' THEN 1 ELSE 0 END) AS miss_founders, SUM(CASE WHEN inv IS NULL OR TRIM(inv)='' THEN 1 ELSE 0 END) AS miss_investor, SUM(CASE WHEN am IS NULL OR TRIM(am)='' THEN 1 ELSE 0 END) AS miss_amount, SUM(CASE WHEN st IS NULL OR TRIM(st)='' THEN 1 ELSE 0 END) AS miss_stage, SUM(CASE WHEN cn IS NULL THEN 1 ELSE 0 END + CASE WHEN st IS NULL THEN 1 ELSE 0 END + CASE WHEN am IS NULL THEN 1 ELSE 0 END) AS true_nulls_company_stage_amount FROM u GROUP BY m ORDER BY CASE m WHEN 'Jan' THEN 1 WHEN 'Feb' THEN 2 WHEN 'Mar' THEN 3 WHEN 'Apr' THEN 4 ELSE 5 END",
        "purpose": "Per-month count of missing (NULL or blank) values for every column across the five monthly tables",
        "source": "raw"
    }
}