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sanhao-global-experts

gzh-roundup-kit

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

C2.4/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden. It discloses only sales framing ('ships as a full prompt kit with step-by-step instructions', '30-day support promise') and says nothing about what invoking the tool actually returns, how long it takes, whether it produces text or a template, or any 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.

Conciseness2/5

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

Only two sentences, but the front-loaded one is off-topic marketing ('restaurant & brand intelligence pack') and the second is padded with 'Instantly', 'no prompt engineering needed', and a support-promise line. None of that helps an agent decide or invoke.

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 one-parameter prompt-kit generator with no output schema and no annotations, an agent still cannot tell what artifact comes back or what makes a good scoped query. The description substitutes promotional claims for the operational detail this tool needs.

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 one optional parameter with 100% schema description coverage ('Optional user query to scope the analysis'), so the schema already does the work. The description adds no meaning about how the query scopes the generated kit, so the baseline of 3 applies.

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 second sentence names a concrete action ('Instantly generate a ready-to-use gzh roundup kit workflow'), but 'gzh roundup kit' is unexplained jargon and the leading claim 'AI-powered restaurant & brand intelligence pack' points at a different domain than a WeChat-account roundup kit. Nothing distinguishes it from the many sibling kits (dy-roundup-kit, xhs-roundup-kit, sph-roundup-kit, zh-roundup-kit, gzh-topic-kit, etc.).

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?

No statement of when to pick this tool, what input situations it fits, or which sibling to use instead (e.g. xhs-roundup-kit vs zh-roundup-kit vs other gzh-*-kit variants). 'No prompt engineering needed' describes convenience, not selection criteria.

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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