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sanhao-global-experts

gzh-script-kit

Turn expertise into output. This gzh script 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?

No annotations are supplied, so the description carries the full disclosure burden. It hints at the deliverable ("complete prompt, usage guide, and edge-case handling"), which is the one useful behavioral detail, but says nothing about whether the call generates content, is read-only, is deterministic, or what the response looks like. "Produce professional results in minutes" is unverifiable advertising.

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 wasted length, but the lead sentence ("Turn expertise into output") is empty positioning rather than a front-loaded statement of function. Space that could have carried routing information is spent on promotional copy.

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?

For a single-optional-parameter prompt-pack tool with no annotations and no output schema, the description must explain the deliverable and when to choose it. It omits both, and its restaurant/brand framing sits oddly against a large family of generic content kits, leaving an agent unable to call it confidently.

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% and there is a single optional `query` parameter already documented as "Optional user query to scope the analysis." The description adds no meaning about what the query should contain or how it influences the output, so the baseline 3 applies.

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?

"Turn expertise into output" is marketing phrasing rather than a verb+resource statement, and "gzh script kit prompt pack" only restates the name. It never says what the tool actually produces (a WeChat official-account script?) or how it differs from the dozens of adjacent siblings such as gzh-story-kit, gzh-sop-kit, gzh-guide-kit or zh-script-kit. The audience note (restaurant and brand teams) is the only differentiating detail.

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 exclusion of alternatives, and no prerequisites. With this many near-identically named -kit siblings in the catalogue, the absence of any routing information leaves the agent with nothing to select 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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