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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorldHint=false, so the safety profile is covered. The description adds one genuinely new behavioral fact outside structured data — the empty-query fallback returns recently added products — but says nothing about result caps, pagination, or the meaning of limit.

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?

Two tight sentences with the verb+resource front-loaded and the fallback behavior second. The enumeration of return fields is mildly redundant given an output schema exists, but nothing is padded and the ordering is logical.

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?

With an output schema covering return values and annotations covering safety, the description only needs to clarify the fallback and positioning, which it partly does. The notable gap is that a 10-sibling toolbox contains both search_catalog and get_product with no stated boundary, leaving the agent to guess which search tool to invoke.

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 50%: query is documented with examples ('Kite', 'Abo') while limit is undocumented anywhere. The description's 'Begriff' restates the query concept but adds no format or semantics beyond the schema, and the limit parameter that controls result count (default 10, max 20) is never explained.

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 uses a specific verb+resource ('Durchsucht den Katalog des elevai-Demoshops') and states what is returned (Name, Preis, Waehrung, Produktseite), so the intent is unambiguous. It fails to distinguish itself from the similarly named sibling search_catalog or from get_product, so an agent could still hesitate between the three.

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?

It implies a usage mode by explaining the no-query fallback ('Ohne Begriff kommen die zuletzt aufgenommenen Produkte'), which tells the agent it can be used to browse recent products. However, there is no explicit when-to-use guidance and no mention of how it differs from search_catalog or get_product.

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