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sanhao-global-experts

sph-unbox-kit

Turn expertise into output. This sph unbox 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

C2.2/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden. It does disclose that the payload includes "the complete prompt, usage guide, and edge-case handling," but says nothing about format, length, whether the query alters output, or what an empty query produces — little more than a packaging blurb for a prompt-pack tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences of which the first two are pure marketing filler ("Turn expertise into output", "professional results in minutes"). The one substantive fact — included prompt, guide, and edge-case handling — arrives last instead of being front-loaded.

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 content-generation prompt pack with a trivial one-parameter schema and no output schema, the description should at minimum identify the produced artifact and the platform. It instead leaves the deliverable's nature and its differentiation from the xhs/zh/dy unbox siblings unresolved.

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 coverage is 100% and the single optional `query` parameter is documented as "Optional user query to scope the analysis." The description adds no meaning about how the query scopes results, which is acceptable only because the schema already covers the parameter; 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?

The description leans on marketing phrasing ("Turn expertise into output", "sph unbox kit prompt pack") rather than a concrete verb and resource. It never says what an "unbox kit" actually generates — an unboxing/review content template for WeChat Channels — and with near-identical siblings (xhs-unbox-kit, zh-unbox-kit, dy-unbox-kit) present, the agent gets no basis for choosing this one.

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 usage hint is an implied audience ("restaurant and brand teams"), with no when-to-use condition, no prerequisites, and no mention of alternatives such as xhs-unbox-kit or dy-unbox-kit. An agent must guess both the trigger and the platform distinction.

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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