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

Annotations already declare readOnlyHint, idempotentHint and closed-world scope, so the safety profile is covered elsewhere. The description usefully adds the result shape (title, Kurzbeschreibung, Link), but leaves unstated what happens when the optional query is omitted (does it return all pages, or nothing?) and whether results are capped or ranked – real behavior for a zero-required-param search tool.

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?

The core purpose is front-loaded and each sentence carries the page taxonomy or the trigger examples. The full German/English duplication roughly doubles length, justified only weakly since the language parameter already handles locale.

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?

There is no output schema, but the description compensates by naming the returned fields (title, summary, link) and the kinds of pages returned. For a two-parameter read-only search, the remaining gap is result limits/ordering and empty-query behavior, which is a modest rather than fatal omission.

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?

Schema description coverage is 100%; both query and language are documented in the schema, including the enum and the Accept-Language/de/en fallback chain. The description only loosely characterizes query as "eine Frage rund um Laptops" and adds intent examples, which is marginal value over the schema – baseline 3.

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?

States a specific verb (findet) and resource (Seiten auf wolaptop.de) and enumerates the page types returned: comparison pages, buying guides/Ratgeber, and brand pages. The listing of page categories plus the return shape (title, summary, link) makes it clearly distinguishable from lookup_product and search_offers without opening any schema.

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?

Gives concrete trigger intents in both languages ("welcher Laptop ist gut fuer …", "worauf achten beim Kauf", "Modelle von <Marke>"), which is strong positive guidance. It never explicitly excludes cases or names the sibling tools (lookup_product, search_offers) as the alternative when the agent wants a concrete product or a price offer, so routing is only partially resolved.

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