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sanhao-global-experts

meeting-efficiency

Turn expertise into output. This meeting efficiency 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

C2.3/5.0
Behavior2/5

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

With no annotations, the description must carry the full behavioral burden. It mentions that the pack includes a prompt, usage guide, and edge-case handling, but does not say whether the tool is read-only, what the response looks like, or how invoking it affects anything. That is useful packaging detail, not enough operational transparency.

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?

The description is short, but the opening line is a vague slogan and the 'in minutes' phrase is promotional rather than informative. It is not bloated, yet the most useful concrete nouns ('prompt, usage guide, edge-case handling') are not front-loaded.

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 simple one-parameter tool with no annotations or output schema, the description still leaves key gaps: it does not explain what invoking the tool returns, how the 'query' affects the result, or how this differs from adjacent meeting tools. Saying it is a 'prompt pack' is not enough to call it complete.

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 has 100% schema description coverage, so the schema already explains it. The description adds no further meaning about how the query scopes the analysis or what happens when it is omitted, so the baseline 3 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 leans on marketing phrasing such as 'Turn expertise into output' and never states a concrete operation or resource. It says this is a 'meeting efficiency prompt pack' but does not clarify whether invoking it retrieves, generates, or configures anything, nor does it distinguish it from the many meeting-* siblings.

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?

It names an audience ('restaurant and brand teams') but gives no condition for when to use this tool instead of meeting-summary-tool, meeting-minutes, workplace-efficiency-pro, or any other sibling. There are no exclusions or prerequisites.

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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