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sanhao-global-experts

viral-hook-writer

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use viral hook writer 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?

No annotations are provided, so the description carries the full behavioral burden. It mentions a prompt kit and a 30-day support promise, but does not explain what invoking the tool actually returns, whether it generates hooks or a workflow package, or what happens with the optional query.

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?

The description is short but not front-loaded with the core tool function. It opens with a vague product-category phrase and spends a sentence on '30-day support promise,' which does not help an agent decide when or how to call the tool.

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?

With no annotations, no output schema, and only one optional parameter, the description should clarify the return behavior and invocation context. Instead, it leaves unclear whether the tool produces viral hooks, a reusable workflow kit, or analysis output, making it incomplete for correct selection and use.

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 description coverage is 100%, and the sole optional 'query' parameter is already documented as scoping the analysis. The description adds no additional meaning about how the query affects hook generation; baseline 3 is appropriate when the schema fully documents the parameter.

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?

The description says it will generate a 'ready-to-use viral hook writer workflow,' which gives some sense of the resource, but the opening phrase 'AI-powered restaurant & brand intelligence pack' is broad and misleading. It does not clearly distinguish whether the tool writes hooks, returns a prompt kit, or provides restaurant/brand analysis.

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 guidance on when to use this tool versus the many sibling tools such as viral-copywriter, viral-title-writer, or xhs-hook-master. No exclusions, prerequisites, or alternative-selection criteria are provided.

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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