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get_brand_voice

Get the brand voice prompt — the core localization personality.

This is the master prompt that shapes all translations. It captures the brand's tone, personality, terminology, and localization guidelines.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. The verb 'Get' plus the presence of an output schema makes the read-only nature reasonably apparent, and the description adds useful context about the prompt's contents, but it says nothing about permissions, fallback behavior when no brand voice is configured, or whether the value is customizable.

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?

Front-loaded with the core definition in the first line, and the total length is short. The second and third sentences overlap somewhat ('master prompt that shapes all translations' vs. 'captures the brand's tone, personality, terminology'), which is a minor redundancy but still earns its place by describing the return 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 no-parameter getter with an output schema, the description supplies enough context about what the returned prompt represents and what it contains. The only meaningful gap is lack of differentiation from sibling prompt/voice tools, which belongs more to usage guidance.

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 to disambiguate. Baseline 4 applies; the description correctly implies a no-argument retrieval rather than suggesting any scoping inputs.

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?

States a specific verb and resource ('Get the brand voice prompt') and explains what the resource is ('companies' master prompt that shapes all translations'). It is clear what is returned, but it does not distinguish itself from nearby siblings such as get_combined_prompt or get_style_guides, which also retrieve prompt-like content.

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

Usage Guidelines3/5

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

Usage is only implied: the phrase 'shapes all translations' hints that this is fetched before localizing, but there is no explicit when-to-use or when-not-to-use statement, and no alternative tool is named for related prompt/voice retrieval needs.

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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