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Get my brand voice

get_brand_voice
Read-only

Returns the user's saved writing styles (brand voice presets). Call this BEFORE writing product names, descriptions or SEO text, and follow the style. With no name it returns all presets.

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": "get_brand_voice"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds one genuinely useful behavioral fact — omitting the name returns all presets — but says nothing about the shape or size of the returned preset list (e.g. whether styles include formatting rules or just prose guidance).

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?

Three short sentences with zero filler: what it returns, when to call it, and the fallback behavior of the optional parameter. The purpose is front-loaded before the usage instruction.

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 one-optional-parameter read tool with no output schema, the description covers what is returned, when to reach for it, and the no-argument case. Missing only detail on the returned preset structure, which the absence of an output schema would otherwise make valuable.

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 0% and the single 'name' property has no description, so the description carries the full burden. It does so partially and effectively: 'With no name it returns all presets' communicates that the parameter is an optional filter rather than a selector, which is the key semantic. It does not say whether matching is exact or partial.

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?

States a specific verb and resource — 'Returns the user's saved writing styles (brand voice presets)' — and the parenthetical disambiguates what a 'brand voice' actually is. An agent can distinguish it from the sibling save_brand_voice purely on read-vs-write framing.

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?

Explicit trigger given: 'Call this BEFORE writing product names, descriptions or SEO text, and follow the style.' That tells the agent both ordering and what to do with the result. It does not name a competing alternative or state a when-not condition, which keeps it short of a 5.

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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