{
    "action": "tool_call",
    "reasoning": "I have correlation results for accounts (revenue/employees, year/revenue, year/employees) and sales_pipeline (close_value/close_date, close_value/engage_date, engage_date/close_date). To provide a complete answer about the strongest correlations across the entire dataset, I need to check the remaining tables (sales_teams and products) for numeric columns that could be correlated. Let me inspect products first since it has sales_price which could correlate with series.",
    "tool": "inspect_columns",
    "args": {
        "table": "products"
    }
}