Scan subjective wording
The text check counts a documented list of vague expressions and open question marks.
REQUIREMENT CLARITY SCAN
Prompt Ambiguity Detector
Scan a coding prompt for vague terms, unresolved choices, missing outcomes, and absent acceptance signals using transparent text heuristics.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Rate structural clarity
Actors, technical constraints, and acceptance checks add fixed risk when partial or missing.
Replace judgement with evidence
Rewrite subjective terms as observable behaviour, exact boundaries, examples, and executable verification.
Continue learning: Architecture decisions AI tools should not make · How AI coding tools invent fake packages
Frequently asked questions
Does this tool understand the technical meaning of my prompt?
No. It uses transparent language heuristics plus your structural ratings. A domain expert must still assess feasibility and correctness.
Are all question marks ambiguous?
No. They are a small risk signal because unresolved questions inside an implementation request may represent decisions. Review each one manually.
Can a short prompt be clear?
Yes. The length penalty is only a heuristic. A concise task can be excellent when repository context and acceptance checks are already established.
How We Compare
| Feature | MVPHub | GitHub Copilot | Cursor |
|---|---|---|---|
| Focused input-based assessment | Included | Limited | Limited |
| Transparent calculation | Included | Limited | Limited |
| No repository access required | Included | Limited | Limited |
| Workflow-specific next steps | Included | Limited | Limited |
GitHub Copilot and Cursor can respond to and refine prompts inside coding workflows. MVPHub applies a visible, repeatable ambiguity formula without executing the prompt or accessing code.
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