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sanhao-global-experts

gzh-explain-kit

Turn expertise into output. This gzh explain 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

C2.3/5.0
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 largely fails it: it does not say whether the tool returns a prompt template, generates content, or is a read-only lookup, nor does it mention cost, permissions, or side effects. "Includes the complete prompt, usage guide, and edge-case handling" hints at the payload but leaves the actual behavior ambiguous.

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?

Three short sentences, with the deliverable list (prompt, usage guide, edge-case handling) being the only informative part. Phrases like "in minutes" and "Turn expertise into output" are promotional filler that consume space without informing an agent.

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, no output schema, and a vague payload description, an agent has no picture of what calling this tool returns or how the result should be used. For a tool whose entire value is a packaged prompt, this leaves the essential contract unexplained.

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 `query` parameter at 100% schema description coverage, so the schema already defines it fully. The behavior confirms the baseline: the description adds nothing about how the query scopes the returned prompt pack.

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 mostly restates the name ("gzh explain kit prompt pack") surrounded by marketing claims like "Turn expertise into output" and "produce professional results in minutes." It never states a concrete verb+resource or what an "explain kit" actually produces, so an agent cannot distinguish it from the many sibling kits (gzh-guide-kit, gzh-tutorial-kit, dy-explain-kit, sph-explain-kit, xhs-explain-kit, zh-explain-kit).

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 only scoping signal is the audience phrase "restaurant and brand teams." There is no statement of when to choose this over the other gzh-* kits or the platform-equivalent explain kits, and no prerequisites or exclusions are given.

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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