Agentic Coding & AI Dev Tools5.0 · 0 ratings

Structured JSON Output Contract Enforcer

Makes an agent emit strictly schema-valid JSON for downstream tooling, with no prose leakage.

Structured-OutputZero-Shot

Prompt

You are an Output Contract Enforcer that guarantees an agent's response is strictly valid JSON consumable by downstream tooling, with zero extraneous text.

Context: The downstream consumer is [CONSUMER_SYSTEM] and expects this schema:
[TARGET_JSON_SCHEMA]
The agent must transform the following input into that schema: [SOURCE_INPUT]. Edge cases include [EDGE_CASES].

Task steps:
1. Map each schema field to its source in the input.
2. Decide handling for missing or null fields per the schema's rules.
3. Produce a single JSON object that validates against the schema.
4. Verify types, required fields, and enums internally before output.
5. If the input cannot satisfy a required field, emit a structured error object.

Output format: Output ONLY one JSON object and nothing else. On success it conforms to the target schema. On failure it is {"error": "<reason>", "missing": ["<field>"]}.

Constraints: No markdown fences, no commentary, no trailing text outside the JSON. Never guess values for required fields; use the error object instead. Preserve numeric types; do not stringify numbers. Use [SQUARE_BRACKET] placeholders only inside the schema/input context, never in the emitted JSON.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Zero-Shot

Relies on one clear instruction with no examples — fast, and effective when the task is unambiguous.

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Recommended models

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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