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sanhao-global-experts

gzh-qa-kit

Save hours every week. This gzh 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

C2/5.0
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 it largely fails: it never says what invoking the tool produces (a prompt? a rendered answer? a template?), whether output is deterministic, or whether the query changes anything. 'Works in any LLM chatbot' describes deployment, not tool behavior.

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?

Only three sentences, but the front-loaded sentence is a benefit claim ('Save hours every week') rather than a statement of function. Nearly all the text is promotional filler that does not help an agent decide or invoke.

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 is the only source of behavioral information, and it never states what the tool returns or how the query scopes the result. For a tool whose output format is completely undocumented elsewhere, this leaves the agent unable to predict the response.

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 at 100% schema description coverage, so the schema already explains 'query' as an optional scoping input. The description adds nothing about it, which is acceptable at full coverage but earns only the baseline.

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 it is a 'prompt and operating playbook for restaurant/brand growth,' which is marketing framing rather than a statement of the operation. The name gzh-qa-kit implies a WeChat official-account Q&A content kit, and siblings like dy-qa-kit, sph-qa-kit, xhs-qa-kit and zh-qa-kit form a platform family, but the text gives an agent no basis to tell this one apart from them or even to know it produces QA-style content.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no prerequisites, and no mention of any alternative tool. 'Save hours every week' and 'no setup' are sales claims, not selection criteria, so an agent has nothing to route on.

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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