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sanhao-global-experts

presentation-script

Turn expertise into output. This presentation script 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

C2.4/5.0
Behavior3/5

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

With zero annotations, the description carries the full burden, and it does disclose one behavioral trait: the response contains a complete prompt, a usage guide, and edge-case handling, which tells the agent the payload is a packaged prompt rather than generated content. However, it says nothing about whether the tool has side effects, how large the returned pack is, or how the optional query changes the result.

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?

Three short sentences with no bloat, but the first two are sales copy ('Turn expertise into output', 'in minutes') that consume the front-loaded position without conveying capability. The one substantive sentence about contents is buried last.

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-optional-parameter tool without annotations or output schema, the description should at minimum explain what the call produces and when to make it. It gestures at returned contents but never states the operation itself, and with dozens of near-identical script/PPT siblings an agent has no basis for routing here.

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 100% schema description coverage ('Optional user query to scope the analysis'), so the schema already does the documentation work and the baseline of 3 applies. The description adds no meaning about how the query scopes or tailors the returned prompt pack.

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 promotional rather than functional: 'Turn expertise into output' and 'produce professional results in minutes' describe a benefit, not an operation. Only the phrase 'presentation script prompt pack... includes the complete prompt, usage guide, and edge-case handling' hints that the tool returns a prompt template, and even that is framed as a product bundle rather than an action. It gives no way to distinguish it from the many script/PPT siblings such as ppt-outline or short-video-script-pro.

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 situational signal is the audience phrase 'restaurant and brand teams,' which is a marketing target, not a when-to-use rule. There is no statement of when this tool should be chosen over the numerous presentation, PPT, and script siblings, and no preconditions or exclusions are mentioned.

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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