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sanhao-global-experts

xhs-sop-kit

Turn expertise into output. This xhs sop 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

C2.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the pack's contents ('the complete prompt, usage guide, and edge-case handling'), which tells the agent it retrieves a template bundle rather than executing an analysis. It does not say what is actually returned, whether the optional query modifies the prompt, or that no external action occurs.

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 bloating, but the opening two are promotional filler ('Turn expertise into output', 'in minutes') that occupy the front-loaded position where the actual capability should be. Only the final sentence conveys concrete information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description is the sole source of behavioral information. It lists the pack's components but never states the return shape (prompt text? structured sections?) or the intended input-output contract for the optional query. Minimally viable for a one-parameter retrieval tool, but it leaves the agent guessing about 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 one optional parameter with 100% schema description coverage, so the baseline is 3. The description never mentions the 'query' parameter or explains how scoping the analysis changes the returned prompt, so it adds nothing beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the artifact as the 'xhs sop kit prompt pack', so an agent can infer it is the Xiaohongshu SOP kit. But the leading line 'Turn expertise into output' and 'produce professional results in minutes' are marketing abstractions, not a verb+resource statement of what the pack actually produces. It also gives no differentiation from siblings such as gzh-sop-kit, sph-sop-kit, dy-sop-kit, xhs-guide-kit, or xhs-checklist-kit, which occupy the same semantic neighborhood.

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 only contextual hint is an audience ('restaurant and brand teams'), which is not a when-to-use rule. There is no statement of when to select this over xhs-guide-kit or xhs-checklist-kit, no prerequisites, and no exclusions. The agent is left to infer selection entirely from the name.

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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