What does it mean that agent documentation lifecycle?

Documentation should evolve with the agent — outdated docs are worse than no docs.

Example: You built a weekly research agent six months ago. Its original README described the data sources, trigger schedule, and output format. Since then you changed two data sources, added a filtering step, and moved the trigger from Monday to Wednesday. None of that is in the docs. A colleague tries to debug a failed run and spends two hours chasing a data source that no longer exists — because the documentation told them it did. The README didn't just fail to help. It actively misdirected.

Try this: Pick one agent or automated system you currently maintain. Open its documentation — README, wiki page, inline comments, whatever exists. Read every factual claim: data sources, triggers, dependencies, output destinations, failure modes. For each claim, mark it as current, outdated, or unknown. Count the results. If more than 20% of claims are outdated or unknown, your documentation has decayed past the trust threshold. Now update the outdated claims or, if you cannot verify them, delete them. An accurate gap is better than a confident lie.