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sanhao-global-experts

ppt-beautify-pro

Turn expertise into output. This ppt beautify 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 at all, the description carries the full behavioral burden and largely fails: it doesn't say whether the tool executes a transformation or returns a prompt pack, what 'edge-case handling' means operationally, whether anything is mutated, or what the response looks like. The 'prompt pack' phrasing hints at a static-text return but never confirms it.

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?

It is short, but poorly front-loaded: the lead sentence is a slogan that conveys no tool behavior, and two of the three sentences are promotional rather than informative. The sentence about included artifacts is the only substantive line.

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 prompt-pack tool with one optional parameter, the description should make clear what the caller receives and how it differs from the lite/base variants; neither is answered. No output schema exists, so the description is the only place return semantics could be explained, and it isn't.

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 and schema description coverage is 100%, so the schema already documents 'query' adequately; baseline is 3. The description adds nothing about what to pass in the query or how it scopes the output, but the schema gap is minimal.

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 mostly restates the name ('ppt beautify pro prompt pack') and wraps it in marketing copy ('Turn expertise into output') rather than stating a concrete verb and resource. It never says what the tool actually produces or does — beautify slides, generate prompts, or rewrite an outline — and gives no signal separating it from ppt-beautify, ppt-beautify-lite, or ppt-polish-tool.

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 when-to-use guidance, no prerequisites, and no mention of the many sibling PPT tools in this namespace. The only context offered is an audience hint ('restaurant and brand teams'), which is not a usage condition an agent can act on.

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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