{
    "action": "tool_call",
    "reasoning": "I have good baseline understanding from the evidence: 15K jobs across 16 months, 4 experience levels with dramatic salary differences (EN ~$63K to EX ~$188K), 16 companies, 20 locations, and relatively stable monthly posting volumes. To propose truly interesting questions, I need to explore dimensions that might reveal non-obvious patterns. Let me check the remote_ratio distribution and its relationship to salary/experience, since remote work is a key AI job market trend.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT remote_ratio, COUNT(*) as job_count, ROUND(AVG(salary_usd), 0) as avg_salary, ROUND(AVG(years_experience), 1) as avg_years_exp, COUNT(DISTINCT company_name) as companies_offering FROM raw.ai_job_dataset GROUP BY remote_ratio ORDER BY remote_ratio",
        "purpose": "Understand remote work distribution and whether it correlates with salary/experience levels",
        "source": "raw"
    }
}