Your agent has many tools but keeps picking the wrong one or passing wrong parameters. How do you fix it?
Tool selection and parameter extraction are where agents quietly break. The strongest answer treats the tool spec as the only thing the model sees, then repairs the design, not the model. Here is how.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Tool selection and parameter extraction are where agents quietly break. The strongest answer treats the tool spec as the only thing the model sees, then repairs the design, not the model. Here is how.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
