{
    "action": "tool_call",
    "reasoning": "Computing Pearson correlations between all numeric measures (Average Cost for two, Aggregate rating, Votes, Price range) to identify strong linear relationships in the dataset.",
    "tool": "query_sql",
    "purpose": "Calculate correlation matrix for numeric measures",
    "args": {
        "sql": "SELECT CORR(\"Average Cost for two\", \"Aggregate rating\") as cost_rating_corr, CORR(\"Average Cost for two\", \"Votes\") as cost_votes_corr, CORR(\"Average Cost for two\", \"Price range\") as cost_price_corr, CORR(\"Aggregate rating\", \"Votes\") as rating_votes_corr, CORR(\"Aggregate rating\", \"Price range\") as rating_price_corr, CORR(\"Votes\", \"Price range\") as votes_price_corr FROM raw.\"Zomato Restaurant Dataset\"",
        "source": "raw"
    }
}