Single-pass A2A agent for the CAR-bench track. Uses a reasoning-capable LLM (default: openai/gpt-5-mini with reasoning_effort=medium) plus a compact, domain-agnostic prompt consisting of six general agent rules. No hardcoded policy content, tool names, or task-specific lookup tables — all instructions come from the green agent at runtime.