When is switching AI tools worth the context loss?

A practical question about model switch cost, handoff packets, and when another tool adds evidence instead of noise.

Switching from one AI tool to another can help, but the context loss is real. For me the switch seems worth it only when the next tool has a clear role: run code, inspect files, browse official docs, review a patch, handle cheaper draft work, or provide an independent risk pass. If the second tool just rewrites the first answer, the user becomes the integration layer. What do you include in a handoff packet before moving work from one model to another?