Skip to main content
Glama

sanhao-global-experts

brand-voice-design

Turn expertise into output. This brand voice design prompt pack helps restaurant and brand teams produce professional results in minutes. Includes the complete prompt, usage guide, and edge-case handling.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden and falls short. It says the pack "includes the complete prompt, usage guide, and edge-case handling" but never states what the tool actually returns (a prompt template? generated voice guidelines? plain text?), whether anything is written or persisted, or whether any permission is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Only two sentences, so it is short, but the space is spent on promotional filler ("in minutes", "professional results") rather than on the concrete deliverable. Structure is acceptable; the wording does not earn its place.

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

Completeness2/5

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

The tool has no output schema, so the description is the only source for what comes back, and it does not say. It also does not clarify whether the returned "prompt pack" is meant to be applied by the agent itself or handed to a user, which is essential for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single optional parameter, and schema coverage is 100% – the schema already documents "query" as an optional scoping hint. The description never mentions the parameter at all, so the schema-only presentation is adequate but the description adds nothing. Baseline 3 applies when the schema does the work for a zero-required-parameter tool.

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

Purpose2/5

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

"Turn expertise into output" and "produce professional results" are generic marketing phrasing that never states a concrete action or deliverable. The only substantive noun is "brand voice design prompt pack," which largely restates the tool name and leaves open whether the tool designs a voice, drafts copy, or just returns a reusable prompt. Nothing distinguishes it from nearby siblings such as brand-core, brand-story-crafter, or account-persona-design.

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 names a target audience (restaurant and brand teams) but gives no when-to-use condition, no prerequisite, and no alternative tool to prefer instead. With hundreds of brand- and copy-related siblings, the absence of routing guidance is a real gap.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.