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sanhao-global-experts

private-domain-closer

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use private domain closer 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?

With no annotations, the description carries the full behavioral burden and delivers little: it does not say what the tool returns, whether the output is a template, a plan, or a long prompt kit, or how the optional query influences results. "Ships as a full prompt kit with step-by-step instructions and a 30-day support promise" describes the commercial package, not observable tool behavior.

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, of which two are marketing filler ("no prompt engineering needed", "30-day support promise") that do not help an agent decide or invoke. The useful content is a single short clause.

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?

No output schema and no annotations mean the description must supply the missing context, yet it never characterizes the deliverable, its expected inputs, or its result shape. For a generator tool it leaves the agent guessing what calling it actually produces.

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 single parameter query is fully documented in the schema (100% coverage), so the baseline is 3. The description adds no meaning about how a query scopes or personalizes the generated closer workflow.

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?

It states a verb and resource ("generate a ready-to-use private domain closer workflow") but the framing is marketing copy — "AI-powered restaurant & brand intelligence pack" blurs what the tool actually produces and clashes with the narrow name. Nothing distinguishes it from near-name siblings such as private-domain-growth, private-domain-sop, or public-private-domain.

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 prerequisites, and no routing to alternatives. "No prompt engineering needed" is a sales claim, not a condition for selecting this tool over its many 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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