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.
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.
Overview
Ambiguity is where prompts quietly fail: the model picks one of several readings and you get something off-target. This loads an ambiguity-heavy prompt at strict setting and surfaces every signal — "concise but also comprehensive", "several key points", "a few takeaways", "etc.", "do this soon". Each is flagged with its category and count so you can see how much room for interpretation the prompt leaves. It detects and names the ambiguity; it does not rewrite it away.
How to use this resource
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Paste a loose prompt
One you suspect leaves room for interpretation.
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Set strictness
Strict flags more borderline terms; Lenient only the clearest.
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Read the flags
Each ambiguity signal named by category and count.
Why This Works
- Ambiguity is where prompts silently fail — surfacing it prevents that
- Signals are grouped by category so the pattern is visible
- Strictness tunes how aggressively borderline terms are flagged
Best for
- Finding interpretation-prone instructions
- Auditing a prompt for vagueness
- Tuning detection with strictness
Not for
- Removing the ambiguity — that's the Prompt Cleaner or Rewriter
- Reformatting the prompt — that's the Prompt Formatter
FAQ
How does the ambiguity report separate a real contradiction from ordinary vagueness?
It files them on different lines. Vague terms land under categories like Vague quantity (several, a few) or Undefined time (soon); a clash between two instructions surfaces as 'Possible contradictions (1): concise / comprehensive'. That contradiction also weighs on the Ambiguity score — the report notes '8 ambiguity flags total; includes 1 possible contradiction' — because it's a tension you resolve, not a word you tighten.
Which flags change when I switch strictness from Strict to Lenient?
Borderline terms are the ones that move. At Strict, softer signals like the hedge 'try to', the vague quality word 'relevant', or 'a few' get flagged; Lenient keeps only the clearest offenders. The header shows which setting produced the run ('Strictness: Strict'), so re-running at Lenient reveals which of the 8 flags were judgment calls versus unambiguous ambiguity.
Why does the report list 'Specificity anchors present: 0 of 6' and what are the six?
That line is a separate diagnostic from the ambiguity flags — it checks six concrete anchors (number, length limit, format, audience, examples, criteria) that pin a prompt down. Scoring 0 of 6 is why Specificity reads 0/100: nothing constrains length, format, or audience. It names the gap; adding the missing anchors in your draft is the fix it points to, not one it writes.
After the report flags 'several', 'soon', and the concise/comprehensive clash, where do I go to fix them?
The report ends read-only — 'the prompt is not modified' — then hands off by name: the Prompt Cleaner for redundancy, the Prompt Rewriter to strengthen flagged wording like 'several' or 'soon', the Prompt Formatter to reshape structure. This checker only names each signal by category and count; you pick which flags matter, rewrite them, and run the tightened prompt wherever you work.
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.
Resource
Find Vague Instructions in a Prompt
Words like "good", "engaging", and "professional" feel like instructions but specify nothing. Find them so you know where the prompt leaves things open.
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.