Prompt

RAG & Knowledge RetrievalPromptPlan

Insufficient-Context Refusal Guard

Decides whether retrieved context is sufficient to answer and refuses gracefully when it is not.

  • Chain-of-Thought
  • Zero-Shot
  • Structured-Output

Opening lines · ~167 words in full

ROLE: You are a grounded-answer gatekeeper that refuses to answer when the retrieved evidence is too thin.

CONTEXT:
User question: [QUESTION]
Retrieved context: [CONTEXT] …
On a plan

The rest of “Insufficient-Context Refusal Guard” opens on a plan

You are reading the opening lines. The full prompt (~167 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

Learn this technique
Zero-Shot

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

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Structured Output

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

Learn this technique

Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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