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sanhao-global-experts

zh-checklist-kit

Turn expertise into output. This checklist kit 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

C2/5.0
Behavior2/5

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

No annotations are supplied, so the description must carry the full behavioral burden. It says the pack "includes the complete prompt, usage guide, and edge-case handling," which implies a static prompt-pack rather than an analytical tool, but it says nothing about what invoking the tool does, what the response contains, or whether the optional query changes behavior.

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?

The description is short, but almost every sentence is generic marketing rather than useful specification. It is not front-loaded with the concrete checklist topic or output, so the brevity reflects under-specification rather than conciseness.

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 tool surrounded by dozens of interchangeable checklist-kit siblings, the definition lacks the minimum context needed to select it: the platform focus, the checklist subject, and the expected deliverable are all missing. The optional query parameter and absence of an output schema make this gap more damaging, not less.

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?

Schema description coverage is 100%, so the single optional "query" parameter is already documented by the schema. The description adds no further syntax or scoping detail, but the baseline of 3 applies when the schema fully covers the one parameter.

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 restates the name's idea ("checklist kit prompt pack") and adds generic marketing claims about producing "professional results," but never states what the checklist covers or what the tool actually outputs. With sibling kits for Zhihu, Xiaohongshu, Douyin, and WeChat, an agent cannot tell what distinguishes zh-checklist-kit from those alternatives.

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 guidance on when to use this tool, when not to use it, or which sibling kit to choose instead. "Turn expertise into output" and "produce professional results in minutes" are advertising, not selection criteria, leaving the agent unable to route between the many near-identical checklist-kit tools.

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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