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kitfoxs

HumanizeMCP

by kitfoxs

apply_style

Apply a style preset to change text's register (formal to casual, academic to blog) without running humanization passes—preserves AI tells.

Instructions

Apply a style preset to text without running humanization passes.

Useful when the caller wants pure register translation (formal to casual, academic to blog, etc.) without removing AI tells. The set of legal style names is whatever :func:list_styles returns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe input prose.
styleYesName of a style preset registered in ``styles/``.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It clearly discloses that this tool does NOT humanize and performs only style/register transformation. It could add details about side effects or atomicity, but for a text-transform tool the key behavioral trait is well covered.

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 compact: a single lead sentence stating core action and exclusions, followed by a brief usage context. No redundant wording exists.

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

Completeness5/5

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

Given the simple parameter set (text, style), output schema existence, and sibling context, the description fully covers what the tool does, when to use it, and how to obtain valid style values. No critical information is missing.

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%, but the description adds value beyond the schema by clarifying that 'style' is a registered preset (from list_styles) and providing examples of register translation. This supplements the schema's generic type/description information.

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 uses a specific verb ('Apply') and resource ('style preset to text') and clearly distinguishes itself from siblings by stating 'without running humanization passes.' This makes its purpose unambiguous.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'Useful when the caller wants pure register translation... without removing AI tells.' It also points to list_styles for legal style names, providing clear guidance on prerequisites and differentiation from humanization tools.

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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