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mcp-variety

mcp-variety

by Muvon

variety_kinds

Lists writing kinds with descriptions, approaches, and form-axis values so you can choose the right structure and style for each piece.

Instructions

List every kind of writing with its description, its approaches and the values of each form axis.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "variety_kinds"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden, but "List" plus zero parameters make the read-only, side-effect-free nature self-evident. It discloses the shape of the returned content (descriptions, approaches, axis values) yet says nothing about exhaustiveness, whether the catalog is static, or result size; the output schema covers the return structure.

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?

A single front-loaded sentence with no filler; the verb and scope lead. The repeated possessive "its" is mildly ambiguous about whether the description/approaches belong to the kind or to the writing, but that is a small structural blemish rather than padding.

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

Completeness3/5

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

For a no-argument catalog tool with an output schema, the description covers what comes back, which is most of what an agent needs. The missing piece is routing: nothing tells the agent when to call this instead of variety_pick or variety_check, which matters in a three-tool family.

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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The mention of "form axis" values is helpful framing for interpreting the output rather than parameter meaning.

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

Purpose4/5

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

Uses a specific verb ("List") against a specific resource ("every kind of writing") and enumerates what each entry contains: description, approaches, and form axis values. An agent knows exactly what this tool returns, but nothing in the text distinguishes it from the sibling tools variety_pick and variety_check.

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

Usage Guidelines2/5

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

The description gives no when-to-use guidance, no preconditions, and no exclusions. With two sibling tools (variety_pick, variety_check) present and unmentioned, the agent must infer from names alone whether this is the discovery step, the selection step, or a validation step.

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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