hardSierra Decagon Cognition

A tool your agent depends on returns errors or garbage. How do you make the agent robust to tool failures?

Real tools time out, rate-limit, and return malformed JSON. An agent that assumes every call succeeds is a demo, not a product. Here is the error-handling layer that keeps it alive in production.

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

Real tools time out, rate-limit, and return malformed JSON. An agent that assumes every call succeeds is a demo, not a product. Here is the error-handling layer that keeps it alive in production.

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