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sanhao-global-experts

sph-review-kit

Turn expertise into output. This sph review 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 provided, so the description carries the full behavioral burden. It mentions included prompt/usage guide/edge-case handling, but does not disclose whether the tool is read-only, what it returns, whether it has side effects, or any authorization or rate-limit considerations.

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 short and structured into three sentences, but it opens with the generic 'Turn expertise into output' and includes marketing phrasing that does not help invocation. The component list is useful, but the most actionable details are not 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?

The tool is structurally simple—one optional parameter and no output schema—but the description does not explain the return shape or how an agent should apply the prompt pack. Given the absence of annotations and output schema, more context is needed for confident selection and invocation.

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 sole input parameter has 100% schema description coverage, so the schema already explains the optional 'query' field. The description adds no additional meaning about how the query scopes the analysis or how it affects output, so the baseline of 3 is appropriate.

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 identifies a 'prompt pack' and target users, but never states the concrete action the tool performs—whether it retrieves, generates, or applies prompts. 'Turn expertise into output' and 'produce professional results' are marketing language rather than a specific verb+resource, and no sibling such as sph-review2-kit is distinguished.

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 only implies an audience and broad use case. It gives no when-to-use guidance, no when-not-to-use conditions, no prerequisites, and no alternatives among the many sph-* and review-* sibling 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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