Resource
Is My Prompt Clear Enough?
Answer the question directly: a clarity score plus the specific reasons a prompt reads as unclear — vague terms, unstated objective, missing specifics.
Prompt Clarity Analysis
A full clarity read-out across four axes, each score explained — so you understand not just how clear a prompt is, but what is driving the number.
Overview
A single clarity number hides more than it shows. This breaks clarity into four explainable axes — clarity, ambiguity, specificity, structure — and shows what drives each. It loads a moderately clear support-assistant prompt so you can see a balanced analysis: a stated objective and tone lift clarity, while a thin set of concrete anchors holds specificity back. Every score comes with its reasons, so the analysis teaches as it diagnoses. It analyzes; it changes nothing.
How to use this resource
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Paste the prompt
A working prompt you want to understand better.
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Read all four axes
Clarity, ambiguity, specificity, structure, each explained.
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Learn what drives them
Every score lists the factors behind it.
Why This Works
- Four axes reveal what a single clarity number hides
- Each score comes with the factors that produced it
- Explainable output teaches while it diagnoses
Best for
- Understanding what drives a prompt's clarity
- A multi-axis read-out
- Learning prompt-clarity factors
Not for
- Getting a rewritten prompt — that's the Prompt Rewriter
- A pass/fail on output — that's the AI Output Validator
FAQ
Does the prompt clarity analysis rewrite my prompt or just score it?
It scores only. The report states "This is a read-only diagnosis — the prompt is not modified" and the OBSERVATION NOTES add it "points out where clarity may suffer, not how to rewrite it." It closes by routing you elsewhere: the Prompt Cleaner for redundancy, the Prompt Rewriter for strength, the Prompt Formatter to reshape.
What do the four clarity axes each measure in the read-out?
Clarity, Ambiguity, Specificity, and Structure each get their own score with reasons. Specificity, for instance, counts concrete anchors — "3 of 6 (number, length limit, format, audience, examples, criteria)" — while Ambiguity flags terms like the vague quality word "professional." Splitting them shows what a single overall number (65/100 here) hides, so you see what drives it.
More resources from Prompt Readability Checker
Resource
Prompt Readability Checker
Diagnose a prompt before you send it: explainable scores for clarity, ambiguity, specificity, and structure, with observations that name where it is vague.
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Detect Ambiguity in a Prompt
Surface the ambiguity a model will exploit: vague quantities, hedges, undefined time, open-ended lists, and conflicting instructions — flagged, not fixed.
Resources that pair well
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Prompt Cleanup Examples (Before & After)
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
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Fix a Vague Prompt
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
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Agent Instruction Prompt Formatter
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Related tools
Tool
Prompt Readability Checker
Diagnose a prompt's clarity before you send it — explainable scores for clarity, ambiguity, specificity, and structure. Read-only; it never rewrites.