Agents are a way to de-bloat the context. The way LLMs function, you absolutely need to find the sweet spot for a given task, and if the primary LLM has to go through a bunch of failures to find a working function, those failures are better contained in an agent and disposed of.

Obviously, you could have a different LLM like a "angel" that prunes a primary agent of the context it doesn't need, but I think the realistic KV cache problem is will determine the optimal structure: you want the work do be done in the most efficience KV cache (context-reuse) as much as possible.

There's definitely more to it than just spawning agents.