ask-questions-if-underspecified

To clarify underspecified requirements, prompt the user with 1-5 must-have clarifying questions about objective, scope, constraints, environment, or safety. Present structured choices with recommended defaults and pause execution until the user provides answers to resolve ambiguity.

When an AI assistant pauses execution, it stops processing the request and waits for the user to supply missing key details. This prevents proceeding with assumptions, reducing rework and misinterpretation caused by multiple plausible interpretations of the initial prompt.

Prompt for essential clarifications when a user request has multiple plausible interpretations or is missing key details about objective, scope, constraints, environment, or safety. This ensures the workflow begins with fully specified requirements rather than guesses.

Yes, you can use structured choices with clear recommended defaults to streamline discovery when resolving ambiguous user requests. This guides the user to provide essential details quickly and reduces the friction of answering open-ended clarifying questions.

Ask 1-5 must-have clarifying questions to resolve an underspecified request. Limiting the scope to essential questions prevents overwhelming the user while ensuring you gather enough key details about objective, scope, and constraints to proceed safely.

The limitation of pausing execution is that the workflow cannot proceed until the user responds to the clarifying questions. If the user abandons the session, the process stalls, making it unsuitable for fully autonomous or background processing pipelines.