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GPTHuman-ai

GPTHuman-Humanizer

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by GPTHuman-ai

Humanize Text

humanize_text

Transforms AI-generated text into a natural, human-sounding version while preserving the chosen tone and rewrite mode. Input must be at least 300 characters.

Instructions

Transforms AI-generated text into a more natural, human-sounding variant while preserving the requested tone and rewrite mode. Input must be at least 300 characters and must not exceed 2,000 words.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoOptional rewrite mode. Defaults to `Balanced` when omitted.
textYesThe text to humanize. Must be at least 300 characters and must not exceed 2,000 words.
toneNoOptional tone for the rewritten text. Defaults to `College` when omitted.
Behavior4/5

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

The description adds context beyond annotations by stating that the tool 'preserves the requested tone and rewrite mode,' indicating behavioral consistency. Annotations already indicate non-read-only and non-destructive, but the description further clarifies the nature of the transformation.

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

Conciseness5/5

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

The description is extremely concise with two sentences: one for purpose and one for constraints. No redundant information, every sentence adds value.

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?

For a simple tool with no output schema, the description covers purpose, constraints, and preservation details. It lacks return value information but is otherwise complete given the complexity.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for all parameters. The description adds meaning by linking 'tone' and 'mode' to the preservation behavior, reinforcing their role beyond what the schema provides.

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's purpose: transforming AI-generated text into a more natural, human-sounding variant while preserving tone and rewrite mode. It uses a specific verb ('transforms') and resource ('AI-generated text'), and distinguishes itself from potential siblings (none listed).

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?

The description includes explicit input constraints: at least 300 characters and at most 2,000 words. This provides clear guidance on when to use the tool. However, it does not give comparative guidance against alternatives, though no siblings exist.

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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