Originally published on AI Tech Connect.
Why the model picks the wrong tool An agent has two entirely different ways to fail at a tool call, and teams routinely apply the fix for one to the symptoms of the other. The first is a selection failure: the model reaches for the wrong tool, reaches for a tool when it should have answered directly, or answers directly when it should have called something. The second is an execution failure: the model picks correctly and then supplies a malformed argument, or the tool returns something the agent cannot recover from. Both look identical in a support ticket, and they have almost nothing in common underneath. Execution failures are fixed on the schema side, with typed parameters, structured error envelopes, idempotent writes and bounded retries. That work has its own playbook, and this…
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