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

Annotations already cover read-only, idempotent, and non-destructive behavior; the description adds the output shape (title, direct answer, URL) and the German-language limitation, which are useful beyond the annotations. It does not cover result limits or error handling, but it provides meaningful extra behavioral context.

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?

A single sentence with no filler, front-loading the action and resource, then covering scope, topics, and return shape. Every clause earns its place, and the structure makes the purpose immediately readable.

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?

For a one-parameter read-only search with rich annotations, the description tells the agent what is searched, in which language, about which topics, and what the return fields are. Minor omissions such as result count or matching behavior are not critical for this simple tool.

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?

The input schema documents the single query parameter fully, including min/max length and German/English examples, so schema coverage is 100%. The description adds no parameter-level detail beyond what the schema already provides, so the 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 clearly states a specific verb ('Find'), resource ('LivaGlow guide articles'), a language qualifier (German), and a topical scope (printed mugs topics). It is distinguishable from siblings like calculate_price or search_faq because the resource type and content areas are specified, though it does not explicitly name a sibling to contrast with.

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?

The topical list (dishwasher safety, porcelain vs ceramic, etc.) implies when this tool is relevant, but there is no explicit when-to-use versus alternatives. It never mentions search_faq for FAQ-type questions or calculate_price for pricing, leaving routing decisions to inference.

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