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sanhao-global-experts

gzh-avoid-kit

Save hours every week. This gzh avoid 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

C2.2/5.0
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 and does not meet it. It does not say what the tool returns (a prompt template? a playbook document?), whether it is a pure read, whether the optional query changes the output, or how long the result is.

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?

Three short sentences, but the lead sentence "Save hours every week" is pure advertising and the rest repeats the name plus generic claims. No sentence front-loads the actual function, so the text is short yet still wasteful.

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 and no output schema, the description needed to explain what the tool produces and when an agent should reach for it. Instead it gives an agent nothing actionable for choosing this tool over the many near-identical gzh-* siblings in the catalog.

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, so the schema already documents `query`. The description adds no meaning beyond that — it never mentions what a query should contain or how scoping affects the returned playbook — but the baseline for full coverage is 3.

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 largely restates the name ("This gzh avoid kit toolkit") and laces it with marketing language ("battle-tested prompt and operating playbook") instead of stating what the tool actually does. It never explains what "avoid" refers to, and "restaurant/brand growth" does not distinguish it from the dozens of sibling gzh-* kits (guide-kit, checklist-kit, topic-kit, etc.).

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?

"No setup, works in any LLM chatbot" is a sales claim, not usage guidance. There is no statement of when to call this instead of gzh-guide-kit, gzh-sop-kit, or any other sibling, and no prerequisites or exclusions are given.

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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