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

With no annotations, the description carries the full behavioral burden and provides none: no return format, no mutation or side effects, no permissions, no limits. The '30-day support promise' and 'prompt kit' language is marketing copy, not 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, but they are sales copy: 'Instantly generate', 'no prompt engineering needed', '30-day support promise'. The content is front-loaded with positioning instead of the capability, and little of it earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No annotations, no output schema, and an underspecified description. For a tool whose output is a whole prompt kit, the description never explains what the agent gets back or how to use the generated workflow, leaving the definition effectively incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single optional 'query' parameter whose schema description already defines it ('Optional user query to scope the analysis') at 100% coverage. The tool description adds no meaning about how the query scopes the workflow, so the schema baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says it will 'generate a ready-to-use gzh diagnose workflow', which mostly restates the tool name. 'AI-powered restaurant & brand intelligence pack' hints at a domain, but it conflicts with 'gzh' (WeChat official account) and never says what the tool concretely produces or does. None of the many gzh-* kits and fnb-* siblings are distinguished.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool instead of siblings like gzh-sop-kit, gzh-topic-kit, or content-diagnose. 'No prompt engineering needed' is a benefit claim, not a usage condition. The agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.