If you only half-follow AI tool news, this is the kind of line you almost scroll past: "Connect more of your apps to Search" [C001]. Then you stop, because maybe this is the detail that changes what you do next. My read: the important part is not "more apps." It is that Search picks metadata before model magic. [C002]
That matters because the common first blame is wrong. People assume bad selection means the model is confused, or the integration is weak. But the docs keep pointing earlier in the chain: your app name, description, and input notes help ChatGPT figure out when the app fits and avoid calling the wrong one.
The strongest clue is the testing advice. The docs recommend keeping a saved set of sample prompts and rerunning them after edits. You only do that when small text changes around the app can change selection behavior.
So the practical read on "Connect more of your apps to Search" [C001] is not "just add tools." It is "make the fit obvious." A product update is worth your time not because it lists more features, but because it changes your next decision.
Boundary: this is about OpenAI's documented ChatGPT app/Search discovery flow, not every search product. And it does not mean copy tweaks can rescue weak data, bad tool boundaries, or hard limits. If someone on your team is blaming the model first, this is the part worth sharing.