I explored this in std::slop (my clanker) https://github.com/hsaliak/std_slop. One of it's differentiating features of this clanker i that it only has a single tool call, run_js. The LLM produces js scripts to do it's work. Naturally, i tried to teach it to add comments for these scripts and incorporate literate programming elements. This was interesting because, every tool call now 'hydrated' some free form thinking, but it comes at output token cost.

Output Tokens are expensive! In GPT-5.4 it's ~180 dollars per Million tokens! I've settled for brief descriptions that communicate 'why' as a result. The code is documentation after all.