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sanhao-global-experts

gzh-reply-kit

Turn expertise into output. This gzh reply 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

C2.1/5.0
Behavior2/5

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

With no annotations, the description carries full behavioral burden and discloses almost nothing - it does not say whether the tool returns a prompt string, generates reply copy, or performs any side effect. The only concrete detail is that a prompt, usage guide, and edge-case handling are 'included', which hints at returned content but leaves invocation behavior opaque.

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 no bloat, but the front-loading is spent on a slogan rather than the tool's function, and 'in minutes' is pure filler. The structure is tidy yet points the reader at the wrong information first.

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?

No annotations and no output schema mean the description must explain purpose and returns itself, and it does neither beyond naming a 'prompt pack' with bundled material. For a tool with only one optional parameter this is a modest but still disqualifying gap - an agent cannot predict what calling it yields.

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 and the schema already documents it at 100% coverage, so the baseline of 3 applies. The description adds no meaning about how a query scopes the analysis or what happens when it is omitted.

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 restates the name ('gzh reply kit prompt pack') and pads it with marketing copy ('Turn expertise into output', 'professional results in minutes') instead of stating a concrete verb and resource. It never says what the tool actually produces - a reply-comment prompt template - and gives no way to distinguish it from gzh-comment-kit, gzh-talk-kit, or the parallel zh-reply-kit/sph-reply-kit/dy-reply-kit families.

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 at all: no trigger conditions, no prerequisites, no exclusions, and no mention of any of the many sibling prompt-pack tools it overlaps with. An agent has no basis for choosing this over gzh-comment-kit or xhs-reply-kit.

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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