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sanhao-global-experts

shop-open-prep

A production-ready shop open prep system for marketing and operations leaders. Get a structured, repeatable workflow you can run today - delivered as a copy-paste prompt pack with examples.

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?

With no annotations, the description carries the full behavioral burden. It reveals that the output is a "copy-paste prompt pack with examples," which is useful, but it does not clarify scope, limitations, permissions, return structure, or how the optional query changes behavior.

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 readable, but it leans on promotional phrasing like "production-ready" and "you can run today" that does little to help an agent select or invoke the tool. It is not badly structured, but some wording does not earn its place.

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 tool with no annotations, no output schema, and one loosely documented parameter, the description should more clearly explain what the workflow contains and how it differs from adjacent tools. It provides a high-level concept but leaves important invocation context missing.

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 has one optional parameter and 100% description coverage, so the baseline is 3. The description does not add meaning about the query parameter beyond the schema's own explanation, which is acceptable but not enriching.

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?

The description identifies a domain—shop-open preparation for marketing and operations leaders—and says it returns a copy-paste prompt pack. However, it uses vague framing like "system" and "workflow" instead of a specific action, and it does not distinguish this from numerous sibling tools such as store-opening-checklist or restaurant-newstore-launch.

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?

It states the intended audience but gives no explicit when-to-use, when-not-to-use, or alternative-tool guidance. An agent cannot tell from the description whether this should be chosen over the many store-opening and restaurant-launch siblings.

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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