Prompt Optimizer

Rewrite a raw prompt into a more structured version, score clarity and ambiguity, and show prompt improvement hints

Scores the original prompt on clarity, completeness, and ambiguity, rewrites it into Role, Task, Constraints, and Few-shot sections, and can optionally call DeepSeek v4 for a stronger AI-assisted rewrite.

Example Results

1 examples

Turn a vague writing prompt into a structured one

Rewrite a loose prompt into Role, Task, Constraints, and Few-shot sections, then score how much ambiguity remains.

{
  "scores": {
    "clarity": 58,
    "completeness": 46,
    "ambiguity": 61
  },
  "structuredPrompt": "# Role\nYou are a conversion copywriter..."
}
View input parameters
{ "prompt": "Write me a landing page copy for an AI note-taking app. Keep it short and good.", "useAiRewrite": true, "outputLanguage": "en" }

Key Facts

Category
AI & Generators
Input Types
textarea, checkbox, select
Output Type
json
Sample Coverage
1
API Ready
Yes

Overview

The Prompt Optimizer helps you transform vague, raw prompts into highly structured, effective instructions for large language models. By scoring your original prompt on clarity, completeness, and ambiguity, and restructuring it into Role, Task, Constraints, and Few-shot sections, this tool ensures you get more predictable and accurate outputs from your AI models.

When to Use

  • •When your LLM outputs are inconsistent, off-topic, or fail to follow specific formatting constraints.
  • •When you want to evaluate the quality of your prompt using objective scores for clarity, completeness, and ambiguity.
  • •When you need to quickly convert a simple, one-sentence idea into a professional, structured prompt template.

How It Works

  • •Paste your raw prompt into the input text area.
  • •Choose whether to enable the AI Rewrite option and select your preferred output language.
  • •Click generate to analyze the prompt and receive clarity, completeness, and ambiguity scores.
  • •Copy the structured output, which is organized into Role, Task, Constraints, and Few-shot sections.

Use Cases

Refining vague marketing copy prompts to get precise tone and length variations from ChatGPT.
Structuring coding prompts to ensure the LLM adheres to specific programming languages, libraries, and error-handling constraints.
Standardizing team prompt templates for customer support bots to ensure consistent, polite, and accurate replies.

Examples

1. Optimizing a Vague Copywriting Prompt

Content Marketer
Background
A marketer wants to generate landing page copy for a new app but only has a simple, one-sentence prompt.
Problem
The raw prompt 'Write me a landing page copy for an AI note-taking app. Keep it short and good.' produces generic and overly long results.
How to Use
Paste the raw prompt into the input field, check 'Use AI Rewrite', select 'English' as the output language, and run the optimizer.
Example Config
Prompt: 'Write me a landing page copy for an AI note-taking app. Keep it short and good.', Use AI Rewrite: true, Output Language: en
Outcome
The tool outputs a structured prompt defining the copywriter role, target audience, specific constraints (under 300 words), and a clear call-to-action task, along with quality scores.

2. Structuring a Code Generation Prompt

Software Engineer
Background
A developer needs a Python script to parse JSON but the LLM keeps writing it without error handling.
Problem
The prompt 'write a python script to parse json' is too ambiguous and lacks safety constraints.
How to Use
Enter the basic coding request, enable AI Rewrite, and generate the structured version.
Example Config
Prompt: 'write a python script to parse json', Use AI Rewrite: true, Output Language: en
Outcome
Generates a structured prompt specifying the Python developer role, input/output formats, explicit constraints for try-except blocks, and a placeholder for few-shot examples.

Try with Samples

ai-tools
Prompt Engineering Samples
Comprehensive prompt engineering examples including templates, best practices, and techniques for effective AI communication
title token prompt
sample

Related Hubs

Prompt Engineering and LLM Input Preparation Tools
Structure prompts, estimate tokens across OpenAI, Claude, Codex, and DeepSeek, translate prompts, clean PDFs for grounding, and review prompt-injection risk in one prompt engineering hub.
Audio Encoding and Format Conversion Tools
Compare audio format conversion, bitrate changes, sample-rate conversion, codec swaps, and export tools in one hub for delivery and archive workflows.
Image Format Conversion and Animated Export Tools
Compare image format converters for JPG, PNG, GIF, AVIF, WebP, TIFF, ICO, base64, and animation-friendly exports in one hub.
JSON Interchange and Format Translation Tools
Compare JSON conversion tools for CSV, YAML, TOML, GraphQL, XML, Markdown, Excel, BSON, EDN, and related structured formats in one hub.

FAQ

How does the tool score my prompt?

It evaluates your input based on clarity, completeness, and ambiguity, providing a numerical score for each metric.

What sections are included in the structured rewrite?

The optimized prompt is organized into Role, Task, Constraints, and Few-shot sections.

Can I optimize prompts in languages other than English?

Yes, you can select your preferred output language, including English, Chinese, Spanish, French, German, Portuguese, and Russian.

What does the 'Use AI Rewrite' option do?

It leverages DeepSeek v4 to perform a more advanced, context-aware rewrite of your prompt.

Do I need to write the Role and Constraints myself?

No, the optimizer automatically infers the ideal role and constraints based on your raw input.

API Documentation

Request Endpoint

POST /en/api/tools/prompt-optimizer

Request Parameters

Parameter Name Type Required Description
prompt textarea Yes -
useAiRewrite checkbox No -
outputLanguage select No -

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-prompt-optimizer": {
      "name": "prompt-optimizer",
      "description": "Rewrite a raw prompt into a more structured version, score clarity and ambiguity, and show prompt improvement hints",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=prompt-optimizer",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]