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sanhao-global-experts

sph-explain-kit

Turn expertise into output. This sph explain 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

C2.3/5.0
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 does state that the output includes the complete prompt, usage guide, and edge-case handling, which is some useful packaging information, but it never says whether the tool generates content or merely returns a template, nor anything about cost, length, permissions, or side effects.

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 bloat, but the opening line ("Turn expertise into output") earns nothing and the remaining two are generic sales copy rather than front-loaded functional detail. Structure is tidy; the content is not load-bearing.

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 output schema and no annotations, the description must explain what the caller gets back, and it only vaguely gestures at a "prompt pack." For a tool sitting among dozens of indistinguishable sibling kits, an agent lacks the information needed to select it correctly or predict its 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 a single optional parameter with 100% schema description coverage, so the schema already documents "query" as an optional scoping input. The description adds no meaning about how the query scopes the analysis or what form it should take; baseline 3 applies because the schema does the work.

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 that restates the name rather than naming a concrete verb and resource. The only concrete detail is that the tool ships a "prompt pack" with a prompt, usage guide, and edge-case handling, which hints at the return value but never states what the tool actually does for the caller (generate copy? return a template?). It offers nothing to separate it from sph-guide-kit, sph-tutorial-kit, sph-qa-kit, or the other ~30 sibling kits.

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 when-to-use, when-not-to-use, or alternative routing anywhere in the description. The only contextual hint is an audience mention ("restaurant and brand teams"), which implies a domain but not a trigger condition or a reason to pick this over the many near-identical sph-* kits.

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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