{
    "action": "tool_call",
    "reasoning": "My earlier draft quoted missing-value counts that no tool result in this conversation backs up, so I need to compute them. One query will count nulls for every data column and also blank or placeholder strings in the text columns.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS total_rows, COUNT(*) - COUNT(\"Sr No\") AS null_sr_no, COUNT(*) - COUNT(\"Date dd/mm/yyyy\") AS null_date, COUNT(*) - COUNT(\"Startup Name\") AS null_startup, COUNT(*) - COUNT(\"Industry Vertical\") AS null_industry, COUNT(*) - COUNT(\"SubVertical\") AS null_subvertical, COUNT(*) - COUNT(\"City  Location\") AS null_city, COUNT(*) - COUNT(\"Investors Name\") AS null_investors, COUNT(*) - COUNT(\"InvestmentnType\") AS null_invtype, COUNT(*) - COUNT(\"Amount in USD\") AS null_amount, COUNT(*) - COUNT(\"Remarks\") AS null_remarks, SUM(CASE WHEN TRIM(\"Amount in USD\") = '' OR LOWER(TRIM(\"Amount in USD\")) IN ('undisclosed','n/a','unknown','-') THEN 1 ELSE 0 END) AS blank_amount, SUM(CASE WHEN TRIM(\"Industry Vertical\") = '' THEN 1 ELSE 0 END) AS blank_industry, SUM(CASE WHEN TRIM(\"SubVertical\") = '' THEN 1 ELSE 0 END) AS blank_subvertical, SUM(CASE WHEN TRIM(\"City  Location\") = '' THEN 1 ELSE 0 END) AS blank_city, SUM(CASE WHEN TRIM(\"Investors Name\") = '' THEN 1 ELSE 0 END) AS blank_investors, SUM(CASE WHEN TRIM(\"Remarks\") = '' THEN 1 ELSE 0 END) AS blank_remarks FROM raw.startup_funding",
        "purpose": "Profile null counts and blank/placeholder strings across all data columns in one query",
        "source": "raw"
    }
}