QuestionQ107

Prompt Engineering & Structured Output

You are developing a structured-data extraction system with Claude. The system pulls information from unstructured documents, validates its output with JavaScript Object Notation (JSON) schemas, and preserves high accuracy. It must gracefully handle edge cases and integrate with downstream systems.

Your system needs to extract event details from calendar invitations and produce JSON that strictly conforms to a schema containing fields for title, date, time, location, and attendees. Downstream systems reject any malformed or non-conformant JSON.

Which approach delivers the most reliable schema compliance?

Explanation

A tool definition accepts an input_schema expressed as JSON Schema, so Claude returns the extracted fields as structured tool input rather than relying on unconstrained text generation. This is more dependable for downstream systems that require schema-conformant JSON than prompting, parsing, retrying, or prefilling text output.

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