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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 fail. The strongest answer treats the tool spec as the only thing the model sees, then fixes the design, not the model. Here is how.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Tool selection and parameter extraction are where agents quietly fail. The strongest answer treats the tool spec as the only thing the model sees, then fixes the design, not the model. Here is how.

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LEARN THE BACKGROUND

These lessons teach the material this question tests, in order and from the beginning.

Agent Engineering·Tools as an interfaceFree14mDesigning an API for a consumer that cannot read the docsA tool set is an API whose only user is a model with no memory of your codebase and no way to ask. That constraint changes granularity, naming and error design in specific ways, and most tool sets are built as though a person were reading them.Applied AI Engineering·Tools and your first agentSign in14mTool design is prompt engineering by another nameThe model chooses tools using only their names, descriptions and parameter schemas. That surface is the whole prompt for the decision, which makes tool design an authoring problem rather than an API problem, and explains most wrong-tool bugs.

UP NEXT ON YOUR JOURNEY

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