One agent, one job
A single agent told to do everything spreads its attention thin. Role specialization assigns each agent a narrow job with a tailored prompt and tool set, so each one does its part well.
Typical roles
- Researcher: gathers facts with search tools.
- Coder: writes and edits code.
- Reviewer: critiques the coder output.
- Coordinator: routes work and merges results.
Each role gets only the instructions and tools it needs, which keeps prompts short and focused.
Why it helps
- A narrow prompt reduces confusion and off task behavior.
- Specialized tool access limits mistakes, since a researcher cannot accidentally deploy code.
- Roles can run in parallel when their work is independent.
The cost
- More agents means more model calls and coordination overhead.
- Handoffs can lose context if the message between roles is thin.
- A weak coordinator becomes a bottleneck.
Specialization pays off when a task has clearly separable parts; for a simple task one well prompted agent is cheaper and just as good.
Key idea
Role specialization gives each agent a narrow job with a tailored prompt and tool set, reducing off task behavior and limiting mistakes, at the cost of coordination overhead and context loss across handoffs.