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sanhao-global-experts

zh-sop-kit

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use sop 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

C2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It hints at output shape ('a full prompt kit with step-by-step instructions'), but says nothing about side effects, whether anything is persisted, permissions, latency, or what the caller actually receives. The '30-day support promise' is marketing, not behavior.

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 short sentences, but two of them are promotional filler ('AI-powered', 'no prompt engineering needed', '30-day support promise') that do not help an agent decide or call. The useful content is a single fragment buried among them.

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?

No output schema and no annotations, so the description must explain what gets produced and how the optional query changes it. It does neither, leaving an agent unable to predict the result of a call.

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% for the single optional 'query' parameter, so the baseline is 3. The description adds no meaning about what querying or scoping does here.

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 says it is an 'AI-powered restaurant & brand intelligence pack' that will 'generate a ready-to-use sop kit workflow', which restates the tool name rather than defining a specific verb and resource. Against siblings such as dy-sop-kit, gzh-sop-kit, xhs-sop-kit, sph-sop-kit and sop-gen-tool, it gives no basis for telling them apart.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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 guidance at all. 'No prompt engineering needed' and a '30-day support promise' are sales claims, not invocation guidance.

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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