High recall is desirable, but a search agent could trivially maximize it by outputting every document it encounters. Precision measures the opposite: the fraction of returned documents that are relevant. Perfect precision is achievable by returning a single correct document, but at the cost of missing everything else. Evaluating the F1 score strikes a balance.
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