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sanhao-global-experts

xhs-tutorial-kit

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use xhs tutorial kit workflow - no prompt engineering needed. Ships as a full prompt kit with step-by-step instructions and a 30-day support promise.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
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 burden and does not meet it. It says the output is a "prompt kit with step-by-step instructions," but never states the response shape, length, whether a query is needed or what happens without one, or whether the "30-day support promise" implies any runtime behavior. The marketing framing ("no prompt engineering needed") substitutes for behavioral detail.

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?

It is short and front-loaded, but the first sentence is off-topic and the closing "30-day support promise" is sales copy that consumes space without helping an agent invoke the tool correctly.

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?

A zero-annotation, zero-output-schema tool with one optional param needs the description to explain what a "tutorial kit" contains and how it differs from the many adjacent kits. Neither is covered, so an agent has to guess at scope and output.

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?

The schema fully documents the single optional "query" parameter, so the schema does the work. The description adds no meaning about how the query scopes the generated kit or what an empty query produces, leaving it at the baseline.

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?

"Generate a ready-to-use xhs tutorial kit workflow" names a verb and a resource, but the opening line ("AI-powered restaurant & brand intelligence pack") is confusing and only loosely connected to a Xiaohongshu tutorial kit. Nothing distinguishes this from near-identical siblings such as xhs-guide-kit, xhs-sop-kit, or zh/dy/sph-tutorial-kit, so an agent cannot disambiguate within the family.

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?

There is no statement of when to use this tool, when not to, or which sibling to pick instead. In a catalog where tutorial/guide/checklist/SOP kits exist for four platforms, the absence of any routing guidance is a real gap.

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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