I think the cause might stem from a larger issue: LLMs are trained to err on the side of caution. This is probably a good default, but can often get in the way.

When I use coding agents to help with prose, they default to bending over backwards to avoid any absolutes or otherwise risky text that might offend someone. (For example, an LLM would add a lot of hedging to my previous sentence to clarify I haven't tried all LLMs, soften the language, etc...)

While I understand the intent, it often makes the text verbose and awkward. So usually the suggested text is safer, but at the same time harder to read.

Another example is always planning/implementing a path for backwards compatibility/migration even when the project is still a prototype where the only user is myself.