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sanhao-global-experts

zh-speech-kit

Turn expertise into output. This speech kit 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

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden and mostly fails it. "Includes the complete prompt, usage guide, and edge-case handling" hints at packaged output content, but nothing states whether this is a static content fetch or a generative call, what the response looks like, or any auth/side-effect profile.

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

Conciseness2/5

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

Three sentences, and the leading slogan "Turn expertise into output" carries zero operational information yet occupies the highest-salience position. The remaining sentences are promotional ("professional results in minutes") rather than front-loading what the tool produces.

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?

With no annotations and no output schema, the description must explain the return shape and safe-call expectations, and it does not. For a prompt-pack tool whose only behavioral surface is what it returns, this is substantially incomplete.

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?

Schema description coverage is 100% for the single optional 'query' parameter, so the baseline applies. The description says nothing additional about how the query scopes the analysis, adding no meaning beyond the schema.

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?

The description labels the artifact a "speech kit prompt pack" but the operative sentence is marketing filler ("Turn expertise into output"), not a verb+resource statement of what the tool returns or does. It never distinguishes itself from the many near-identical siblings (zh-talk-kit, zh-script-kit, dy-speech-kit, sph-speech-kit, xhs-speech-kit) that share the same '-speech-kit' shape.

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?

A target audience ("restaurant and brand teams") is named, which is weak implied usage, but there is no when-to-use condition, no exclusion, and no pointer to any alternative speech/script/talk kit. An agent selecting among dozens of '*-kit' siblings gets no routing signal.

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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