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sanhao-global-experts

zhongkao-sprint-nav

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

C2.1/5.0
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, yet it discloses almost nothing operational. 'Ships as a full prompt kit with step-by-step instructions and a 30-day support promise' is sales copy, not behavior — it says nothing about what the tool returns, whether it is read-only, or how it handles the query.

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?

Three short sentences, but they are entirely promotional and front-load an irrelevant 'restaurant & brand intelligence pack' claim rather than the actual function. Nothing is bloated in length, but the structure misdirects the reader before any useful information.

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 an ambiguous name, the description should state exactly what artifact is produced and in what domain. Instead it leaves the domain conflict unresolved and substitutes a support guarantee for substance, so an agent cannot confidently call it.

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 a single optional 'query' parameter with 100% schema description coverage, so the schema already explains it. The description adds no meaning about how the query scopes the generated workflow; baseline 3 applies when the schema does all the work.

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 opens with 'AI-powered restaurant & brand intelligence pack', which has nothing to do with the tool name 'zhongkao sprint nav' (a Chinese high-school entrance exam context). The only semi-concrete claim is 'generate a ready-to-use zhongkao sprint nav workflow', but the conflicting domain framing leaves an agent unable to say what resource is actually produced.

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?

No when-to-use guidance, no prerequisites, no mention of any alternative tool in the very large sibling list. The closest thing to guidance is a marketing reassurance ('no prompt engineering needed'), which does not help selection.

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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