{
    "action": "tool_call",
    "reasoning": "My previous draft cited numbers, but no tool results are visible in the evidence, so I'll re-ground the data-quality claims with a single profiling query on the Amount and Date columns before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS total_rows, COUNT(DISTINCT \"Sr No\") AS distinct_ids, COUNT(TRY_CAST(REPLACE(\"Amount in USD\", ',', '') AS DOUBLE)) AS clean_numeric_amounts, COUNT(*) - COUNT(TRY_CAST(REPLACE(\"Amount in USD\", ',', '') AS DOUBLE)) AS non_numeric_amounts, SUM(CASE WHEN \"Amount in USD\" = 'N/A' THEN 1 ELSE 0 END) AS plain_na, SUM(CASE WHEN \"Amount in USD\" LIKE '%N/A' AND \"Amount in USD\" <> 'N/A' THEN 1 ELSE 0 END) AS prefixed_na, SUM(CASE WHEN LOWER(\"Amount in USD\") IN ('undisclosed','unknown') THEN 1 ELSE 0 END) AS undisclosed_unknown, SUM(CASE WHEN \"Amount in USD\" LIKE '%+%' THEN 1 ELSE 0 END) AS plus_suffixed, SUM(CASE WHEN \"Amount in USD\" IS NULL THEN 1 ELSE 0 END) AS true_null_amounts, SUM(CASE WHEN TRY_STRPTIME(\"Date dd/mm/yyyy\", '%d/%m/%Y') IS NULL THEN 1 ELSE 0 END) AS unparsable_dates FROM raw.startup_funding",
        "purpose": "Profile data-quality issues in Amount in USD and Date columns",
        "source": "raw"
    }
}