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sanhao-global-experts

shoot-script-studio

Turn expertise into output. This shoot script studio 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?

No annotations are supplied, so the description carries the full burden. It claims the pack "Includes the complete prompt, usage guide, and edge-case handling," which is the only hint about what comes back, but it never describes output structure, whether the underlying model is invoked, whether anything is persisted, or what the query parameter changes.

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?

Only three short sentences, but the first two are promotional filler ("Turn expertise into output", "in minutes") rather than front-loaded function. The one informative clause about contents is buried last instead of leading.

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 a crowded sibling namespace of script-generation tools, the description should establish what is produced and how it differs from neighbors. Instead it delivers sales language, so an agent cannot confidently decide to call this tool or predict its 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?

There is a single optional parameter with full schema description coverage ("Optional user query to scope the analysis"), so the schema already does the work. The description adds no meaning about how query scopes the result or what happens when it is omitted, leaving it at the baseline for a well-documented single-parameter tool.

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 text is marketing copy rather than a functional statement: "Turn expertise into output" and "produce professional results in minutes" say nothing about the verb or artifact produced. Only the phrase "shoot script studio prompt pack" and the audience (restaurant and brand teams) hint at the domain, so an agent must infer the tool returns a prompt package. It is close to restating the name rather than defining the operation.

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?

The only contextual cue is an audience mention ("restaurant and brand teams"), with no statement of when to choose this over the many near-identical siblings such as video-shot-script-master, short-video-script-master, chain-fnb-script-master, or short-drama-script-generator. There are no exclusions, prerequisites, or triggering conditions.

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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