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sanhao-global-experts

short-video-script-master

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use short video script master 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 must carry the full behavioral burden. It mentions a prompt kit and a support promise but does not disclose output format, limitations, side effects, or what the generated "workflow" actually contains.

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 includes marketing language that does not help an agent select or invoke the tool: "restaurant & brand intelligence pack," "no prompt engineering needed," and a "30-day support promise." The useful purpose statement is buried among sales claims rather than front-loaded.

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 output schema and no annotations, the description should clarify what the tool returns and how it behaves. Instead it omits return format, workflow details, and practical invocation context, leaving the agent with an unclear picture of the tool's actual output.

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 schema fully documents the single optional query parameter, so the baseline is 3 even though the description adds no parameter meaning. The description does not explain how the query scopes the analysis or what happens when it is omitted.

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 short video script workflow, but the opening phrase "AI-powered restaurant & brand intelligence pack" is vague and the term "master workflow" is not defined. It also fails to distinguish this tool from nearby siblings such as short-video-script, short-video-script-pro, or chain-fnb-script-master.

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 explicit guidance on when to use this tool, when not to use it, or which sibling tool is the better alternative. The only implied usage comes from the words "generate a ready-to-use short video script," which is not enough to guide 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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