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sanhao-global-experts

de-ai-copy

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use copy 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 behavioral burden, and it discloses nothing about what the tool returns, whether it mutates anything, latency, or permissions. Instead it advertises packaging details ('full prompt kit with step-by-step instructions', '30-day support promise') that describe a product bundle rather than runtime 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?

It is short, but every sentence is promotional ('instantly', 'no prompt engineering needed', '30-day support promise') rather than functional. Nothing is front-loaded about the actual operation, so the words do not earn their 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?

Without annotations, an output schema, or parameter detail in the description, an agent has no basis for predicting inputs, outputs, or side effects. Given the ambiguity between 'copy workflow', 'prompt kit', and 'intelligence pack', the definition is not sufficient to invoke the tool confidently.

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% for the single optional `query` parameter, so the schema already explains scoping. The description adds nothing about how the query influences output, so the baseline 3 applies with no value added on top.

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 calls itself a 'restaurant & brand intelligence pack' and says it will 'generate a ready-to-use copy workflow', which is closer to product marketing than a stated verb+resource. It never explains what operation actually runs (produce copy? a prompt kit? an analysis?) and does not distinguish itself from the dozens of sibling copy tools like copy-dashboard-pro 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?

There is no statement of when to use this tool, when not to, or which sibling it replaces. The only hint is 'no prompt engineering needed', which is an implied convenience claim 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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