{
    "action": "tool_call",
    "reasoning": "My previous reply was prose with no evidence behind it. I'll compute the monthly deal count and total USD from raw data, parsing the VARCHAR date and amount safely, so the spikes and dips are grounded and rendered.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT date_trunc('month', try_strptime(replace(replace(trim(\"Date dd/mm/yyyy\"), '\\xc2\\xa0', ''), '.', '/'), '%d/%m/%Y')) AS month, COUNT(*) AS deals, COUNT(TRY_CAST(replace(\"Amount in USD\", ',', '') AS DOUBLE)) AS deals_with_amount, SUM(TRY_CAST(replace(\"Amount in USD\", ',', '') AS DOUBLE)) AS total_usd, MEDIAN(TRY_CAST(replace(\"Amount in USD\", ',', '') AS DOUBLE)) AS median_usd FROM raw.startup_funding GROUP BY 1 ORDER BY 1",
        "purpose": "Monthly deal count and funding totals to identify spikes, dips and malformed dates",
        "source": "raw"
    }
}