A comprehensive study analyzed nearly 17,000 sessions to evaluate how coding agents like Claude Code, Codex, and Cursor select and implement development tools. The research tested 1,163 prompt variations across 75 repositories to observe the agents' actual behaviors. By focusing on real implementation rather than just recommendations, the findings provide deep insights into the practical decision-making processes of AI assistants.