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sanhao-global-experts

wechat-oa-article-pipeline

Turn expertise into output. This wechat article pipeline 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 provided, so the description carries the full disclosure burden, and it largely fails. It does imply the deliverable is a packaged asset ("Includes the complete prompt, usage guide, and edge-case handling"), but it never states what actually happens on invocation, what the response looks like, or whether content is generated versus retrieved. No mention of side effects, permissions, or limits.

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?

The description is a reasonable three sentences long, but the lead sentence is pure marketing filler that does not earn its place, and the third sentence enumerates pack contents rather than tool behavior. The genuinely informative part (domain and audience) arrives late and buried in promotional phrasing.

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 no explanation of what is returned, the definition leaves too much unspecified for an agent to call this confidently. It never clarifies whether the result is generated article copy, a prompt template, or documentation, which is the single most important fact for this tool.

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 and the schema documents it at 100% coverage ("Optional user query to scope the analysis"). The description adds nothing about the query parameter — no format, no examples, no effect on output. With full schema coverage, the baseline of 3 applies even though the description is silent on parameters.

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 a slogan, and "wechat article pipeline prompt pack" largely restates the tool name. The closest thing to a concrete statement is that it "helps restaurant and brand teams produce professional results in minutes," which describes a benefit rather than an action. An agent still cannot tell whether invoking this generates an article, returns a stored prompt template, or produces a usage guide, nor how it differs from siblings such as article-pipeline-pro or gzh-publish-pipeline.

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 description gives no when-to-use condition, no prerequisites, and no exclusions. It never names an alternative tool or explains what distinguishes this pipeline from the many other WeChat/article/pipeline siblings in the catalog. The only scoping hint is "restaurant and brand teams," which is an audience, not a selection criterion.

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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