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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, covering the safety profile. The description adds useful provenance by noting interests can come from students or teachers, but it does not describe return behavior, ordering, or how missing interests are handled.

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 description is a single well-formed sentence with the resource and scope front-loaded. The parenthetical provenance detail is relevant and there is no wasted text.

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 simple read-only list tool with rich annotations and no output schema, the description gives enough high-level context. However, it leaves gaps around parameter selection and return contents that matter for correct invocation.

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 coverage is only 50%: the 'class' parameter is documented in the schema, but 'class_id' is not. The description merely says 'einer Klasse' and does not clarify the relationship between class name and class_id or whether either is optional, so it fails to compensate for the schema gap.

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 identifies the resource: interests of the children in a class, including who entered them. It does not explicitly differentiate from the many sibling list_* tools, but the resource is specific enough that an agent can understand what it retrieves.

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 phrase 'für passende Beispiele in Lernpaketen und Aufgaben' implies a use case, so usage is suggested rather than explicit. There is no guidance on when to choose this over alternatives or any prerequisites for calling it.

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