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Plagiarism Detection

plagiarism-detection
Read-only

Check text for plagiarism by scanning the internet for similar content. Verifies originality for academic, content creation, or legal use.

Instructions

Winston AI's plagiarism API is a powerful tool designed to check text for plagiarism by scouring the internet for similar content. It queries multiple websites and compares the input text with the content found on these websites. This can be particularly useful in academic settings, content creation, legal scenarios or any other situation where originality of content is required. Cost: 2 credits per word.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text to be scanned. This is required unless you provide a website or file. Each request must contain at least 100 characters and no more than 120,000 characters.
languageNo2 letter language code. We accept all languages. Default: en.en
countryNoThe country code of the country where the text was written. We accept all country codes. Default: us.us

Tool Definition Quality

A4.1/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotated with readOnlyHint and openWorldHint; description adds that it queries multiple websites and includes cost per word, providing useful behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise and front-loaded, though some redundancy ('scouring the internet' and 'queries multiple websites').

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Good overall, with schema and annotations covering most needs. Missing return format information, but not critical given other rich metadata.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% parameter descriptions; description does not add per-parameter details beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks text for plagiarism by scouring the internet. It distinguishes from siblings like ai-image-detection and text-compare.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit use cases (academic, content creation, legal) but does not mention when not to use or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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