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sanhao-global-experts

gzh-listicle-kit

Save hours every week. This gzh listicle kit toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

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?

No annotations are supplied, so the description carries the full behavioral burden. It asserts 'save hours' and 'no setup' but never states what the tool returns (a static prompt block? a generated listicle?), whether it consumes the query parameter, or whether output requires post-processing. The benefit claims are unverifiable marketing rather than behavioral disclosure.

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?

Two short sentences with no bloat in length, but the front-loaded sentence is a generic benefit claim ('Save hours every week') rather than the task definition, so the most valuable information is not prioritized.

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 single vague parameter, the description should explain what the kit delivers and how it behaves. Instead it leaves the return value and mechanism undefined, which is insufficient for an agent deciding whether to call it.

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 only one optional parameter and the schema already describes it at 100% coverage ('Optional user query to scope the analysis'). The description adds no meaning beyond that, but with full schema coverage the baseline of 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 name is restated as 'gzh listicle kit toolkit' without saying what it actually produces — presumably a listicle article template or prompt for WeChat Official Accounts. 'Battle-tested prompt and operating playbook for restaurant/brand growth' adds marketing framing rather than a concrete verb+resource, and it never differentiates from the many sibling listicle kits (dy-, xhs-, zh-, sph-listicle-kit).

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 usage claim is 'No setup, works in any LLM chatbot', which is about portability, not about when to pick this tool over alternatives. With five sibling *-listicle-kit tools in the list, the absence of any routing guidance is a real gap.

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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