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sanhao-global-experts

ecom-detail-page

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

C2.2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It does disclose that the deliverable is 'a full prompt kit with step-by-step instructions' plus a support promise, which is some useful behavioral context, but it says nothing about side effects, what the single query parameter changes, or what the agent actually receives back beyond the vague 'kit'.

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, and the highest-value content is buried behind an off-topic 'restaurant & brand intelligence pack' opener. The '30-day support promise' and 'no prompt engineering needed' lines are sales copy that do not help 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 simple one-optional-param tool with no annotations and no output schema, the description should clarify what is produced and how to call it. It hints at a 'prompt kit with step-by-step instructions' but leaves the actual output and the role of the query parameter undefined.

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 only one optional parameter and the schema already describes it at 100% coverage ('Optional user query to scope the analysis'), so the schema does the heavy lifting. The description adds no additional meaning about how the query scopes output, which is acceptable at the baseline for full coverage.

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 lead sentence calls it a 'restaurant & brand intelligence pack', which has nothing to do with an e-commerce detail page and misdirects the agent. 'Instantly generate a ready-to-use ecom detail page workflow' does contain a verb and resource, but the framing is marketing boilerplate and gives no basis for separating it from the sibling ecom-detail-optimizer or ecom-copy-pro.

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 prompt engineering needed' implies you can invoke it directly, but there is no statement of when to choose this over the many adjacent ecom copy/optimizer tools, no prerequisites, and no exclusions. Usage must be inferred entirely.

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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