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sanhao-global-experts

voiceover-script-writer

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use voiceover script 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

C2.1/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full disclosure burden, and it largely spends that budget on marketing ("30-day support promise", "ships as a full prompt kit"). It never says what the tool actually returns, how the generated script is structured, or whether the "prompt kit" framing means the output is instructions rather than content. Nothing contradicts annotations, but the behavioral picture stays ambiguous.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Only three sentences, but roughly half the text is promotional filler ("Instantly", "no prompt engineering needed", "30-day support promise") that does not help an agent act. The actual capability statement is buried after a leading sentence about a different-sounding product.

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 and no output schema, the description must explain what a call yields, and it does not — the reader is left unsure whether the result is a voiceover script or a prompt bundle. For a tool whose only input is an optional free-text query, that missing output picture is a significant gap.

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?

Single optional parameter with 100% schema description coverage, so the baseline is 3. The description adds nothing about how the query scopes the analysis — it repeats the schema's own concept ("scope the analysis") without clarifying what a query changes in the output.

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 names a resource ("voiceover script writer workflow") and a verb ("generate"), but it opens with an unrelated claim of a "restaurant & brand intelligence pack" and never states whether the tool produces a script, a prompt kit, or an analysis. Against many script-oriented siblings (short-video-script, live-script, talk-script-generator) there is zero differentiation, so an agent cannot confidently route to it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: no conditions, no prerequisites, no named alternatives among the many sibling script tools. The only usage-adjacent sentence is a sales claim ("no prompt engineering needed"), which does not tell an agent when this tool beats another.

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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