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sanhao-global-experts

short-video-script-pro

Turn expertise into output. This short video script pro prompt pack helps restaurant and brand teams produce professional results in minutes. Includes the complete prompt, usage guide, and edge-case handling.

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. It only claims the pack "includes the complete prompt, usage guide, and edge-case handling," without saying whether the tool executes anything, returns static prompt text, requires input, or has cost/latency characteristics.

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 front-loaded line "Turn expertise into output" is pure marketing filler rather than the most useful information. The substantive content (target audience, included materials) is buried behind a slogan.

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 one-parameter, no-annotation, no-output-schema tool, the description never clarifies the actual return value — a script, a prompt template, or a guide — which is exactly what an agent needs to decide whether to call it and how to use the result.

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 optional `query` parameter is fully documented in the schema (100% coverage), so the schema already does the work. The description adds nothing about how the query scopes the output, so the baseline 3 for high schema coverage applies.

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 says it is a "short video script pro prompt pack" for "restaurant and brand teams," which gestures at the domain, but never states a concrete verb+resource action the tool performs (generate a script? return a reusable prompt?). It also fails to distinguish this from near-identical siblings such as short-video-script, short-video-script-master, and shortvideo-script-doctor.

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?

"Restaurant and brand teams" names an audience, not a usage condition, and there is no statement of when to pick this tool over the many sibling script tools. No exclusions, prerequisites, or alternative routing are given.

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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