{
    "action": "tool_call",
    "reasoning": "The dataset has two temporal axes: posting_date (2024-01-01 to 2025-04-30) and application_deadline (2024-01-16 to 2025-07-11). I need to examine the trend in job postings over time. The gold tables include temporal aggregations by posting_date at various grains. I'll query the monthly aggregation table to see the trend. From the error in step-1, I can see the table name pattern is ai_job_dataset_by_posting_date__yyyy_mm, and it appears to already be aggregated, so I should select the time column and the count directly without additional GROUP BY.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT posting_date__yyyy_mm AS month, COUNT(*) AS job_postings FROM ai_job_dataset_by_posting_date__yyyy_mm ORDER BY posting_date__yyyy_mm",
        "purpose": "Get monthly job posting counts to identify the overall trend",
        "source": "gold"
    }
}