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sanhao-global-experts

zh-explain-kit

Save hours every week. This explain kit toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

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?

With no annotations, the description carries the full behavioral burden, yet it only offers sales framing ('Save hours every week', 'No setup, works in any LLM chatbot'). It does not say what the tool returns, whether it is read-only, or how the 'prompt and playbook' are delivered.

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?

It is short, but the opening sentence ('Save hours every week') is pure advertising and the purpose is not front-loaded. The remaining sentences describe the product offering rather than the tool's function, so little of the text earns 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 is simple (one optional param, no output schema), so the description should at minimum explain what is produced and what the query does. Instead it reads like a landing-page blurb, leaving the agent unable to predict the response or when to invoke it.

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 is 3. The description adds no meaning about how the query scopes the analysis or what a run without a query produces.

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 says the tool 'gives you a battle-tested prompt and operating playbook for restaurant/brand growth,' which gestures at a content-delivery tool but never states a concrete action or output. 'Explain kit toolkit' largely restates the name, and nothing distinguishes it from the many sibling kit tools (zh-guide-kit, zh-sop-kit, zh-talk-kit, etc.).

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?

There is no when-to-use or when-not-to-use guidance, no mention of alternatives, and no scenario where an agent should pick this over a sibling kit. 'Restaurant/brand growth' is the only contextual cue, and it is buried in marketing copy.

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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