Skip to main content
Glama
kitfoxs

HumanizeMCP

by kitfoxs

list_styles

Lists all available style presets for humanizing AI-generated text. Quickly see the full range of writing styles you can apply.

Instructions

List the names of all currently registered style presets.

Style presets are loaded from the styles/ package. If the package is unavailable an empty list is returned.

Returns

list of str Sorted list of preset names, e.g. ["academic", "blog", "casual", "esl", "neurodivergent", "preserve"].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the return type (list of str), sorted order, example values, and an edge case (empty list if package unavailable). This gives the agent an accurate expectation of behavior, though it doesn't explicitly state side-effect-free behavior (which is implied by 'list').

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 concise and well-structured: a single purpose line, a brief source/edge-case note, and a Returns section with type and example. Every sentence adds value without unnecessary fluff, and the formatting is clean.

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?

For a simple, parameter-less listing tool with an output schema, the description is complete. It explains what is returned, the ordering, a representative example, and what happens if the package is unavailable. No critical information is missing for the agent to effectively invoke and use this tool.

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?

The tool has zero parameters, and the schema is an empty object. The description adds no parameter details, but none are needed. The baseline for a zero-parameter tool is 4, and the description provides relevant return-value context that compensates adequately.

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 function: 'List the names of all currently registered style presets.' This uses a specific verb (list) and resource (style presets), distinguishing it from siblings like apply_style or humanize. It also adds context about the source package and an example output.

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 provides clear context by explaining the purpose (listing preset names) and the behavior when the package is unavailable. While it doesn't explicitly mention alternatives or when not to use it, the intended use as a lookup tool is evident. The absence of explicit exclusions is acceptable for such a simple read-only operation.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kitfoxs/humanize-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server