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sanhao-global-experts

gzh-live-kit

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use gzh live 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 are supplied, so the description carries the full burden, yet it only offers marketing claims ('no prompt engineering needed', '30-day support promise') rather than behavior. It does not say whether the tool generates text, returns a static template, has side effects, requires auth, or what form the output takes.

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 sentences, but the lead sentence is off-topic boilerplate and the closing sentence is a sales promise that carries zero decision value for an agent. The only operative clause is buried in the middle.

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 annotations, no output schema, and a dense field of near-identical sibling tools, the description should at minimum state the platform, the produced artifact, and how it differs from the other live-kit variants. It instead spends its budget on marketing copy, leaving the agent unable to predict what calling it yields.

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 description coverage is 100% for the single optional 'query' parameter, so the schema already defines its meaning and the description adds nothing about how to phrase or scope it. Baseline 3 applies since the schema does the work here.

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 verb and resource ('generate a ready-to-use gzh live kit workflow'), but 'live kit workflow' is opaque and the opening claim of being a 'restaurant & brand intelligence pack' points at a completely different domain, muddying rather than clarifying purpose. Nothing distinguishes it from the many sibling variants (dy-live-kit, sph-live-kit, xhs-live-kit, zh-live-kit), so an agent cannot infer that 'gzh' means WeChat Official Account from the text alone.

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 guidance, no preconditions, and no mention of when a different kit tool would be the better choice. The description never tells the agent which platform or task scenario should route here versus the ~20 other *-live-kit 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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