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A little context (but not enough) can create more ambiguity.
Similar psychology:
Before someone mutes a conversation, you could spell out exactly what other participants will and won't see, so a short label doesn't leave them with fuzzy context.

When someone postpones a task, try showing exactly how it shifts their schedule, so a vague 'snooze' doesn't leave them wondering what it changes.

Where a filter uses a relative label like '7 days', consider showing the actual dates it covers in a tooltip, so people know exactly what's included.

If an input goes over a limit, one option is to state exactly how many characters to remove, rather than a vague 'too long' error that leaves people guessing.

When asking people to rate something subjective, it may help to pin each option to a familiar comparison, e.g., whether they could still talk, so the scale isn't fuzzy.

Swapping fuzzy labels for exact measures, e.g., real dates or character counts, could help users understand what an option means without having to guess.
Answering the obvious follow-ups, like who sees a change or whether it can be undone, might reduce the frustration that half-explained settings can cause.
When help text is fuzzy, users may have to work out what it means or contact support, so answering their questions upfront could reduce the effort needed to carry on.