You can call it “output granularity” and allow Java logger style configuration, e.g. allowing certain operations to be very verbose while others being simply aggregated
If we're going there, we need to make the logging dynamically configurable with Log4J-style JNDI and LDAP. It's entirely secure as history has shown - and no matter what, it'll still be more secure than installing OpenClaw!
(Kidding aside, logging complexity is a slippery slope, and I think it's important, perhaps even at a societal level, for an organization like Anthropic to default to a posture that allows people to feel they have visibility into where their agentic workflows are getting their context from. To the extent that "___ puts you in control" becomes important as rogue agentic behavior is increasingly publicized, it's in keeping with, and arguably critical to, Claude's brand messaging.)
They don’t have to reproduce it literally. It’s an UX problem with many solutions. My point is, you cannot settle on some „average“ solution here. It’s likely that some agents, some operations will be more trustworthy, some less, but that will be highly dependent on context of the execution.