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sanhao-global-experts

dy-live-kit

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

C2.3/5.0
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 hints that the output is "a full prompt kit with step-by-step instructions," but says nothing about whether generation is synchronous, what the kit contains, cost/limits, or side effects; the "30-day support promise" is sales copy, 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.

Conciseness3/5

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

Only three short sentences, so it is compact and front-loaded. However, the first sentence misdirects toward restaurant/brand intelligence and the last is pure promotional filler about a support promise, so not every sentence earns 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?

The tool itself is simple (one optional parameter, no output schema), yet the description leaves the agent unsure which platform's live kit this produces and what a "live kit" actually is, while spending space on marketing claims instead.

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% and the single `query` parameter is documented with an optional scope hint, so the schema does the work. The description adds no meaning about how the query scopes the generated kit, which is the baseline-3 outcome.

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?

"Instantly generate a ready-to-use live kit workflow" gives a verb and a resource, but "live kit" is the name restated and the leading sentence calls it a "restaurant & brand intelligence pack," which has nothing to do with a Douyin livestream kit. It never says the platform (dy) or how it differs from the ~30 sibling *-live-kit tools (gzh-live-kit, xhs-live-kit, sph-live-kit, zh-live-kit), so an agent cannot route on this text.

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 when-to-use condition, no prerequisites, and no named alternative among the many sibling live-kit variants. The only usage-adjacent claim is "no prompt engineering needed," which is marketing rather than routing 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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