motimate_get_learning_path_sections

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It indicates a read-only retrieval operation ('Gibt zurück') and states that the result includes the contained trainings. However, it does not mention behavior for invalid or missing learning_path_id, permissions, pagination, or potential side effects, leaving some transparency gaps.

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, front-loaded sentence that states the main action and the most useful additional detail (that contained trainings are included). There is no filler or redundant wording.

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 retrieval tool without an output schema, the description is minimally viable: it tells the agent what the tool returns and the schema identifies the required input. It omits response shape, ordering, and error behavior, which are notable gaps but not critical for a simple read operation.

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 already fully documents the single parameter learning_path_id with a clear German description. The tool description adds no additional semantic detail about the parameter beyond what the schema provides, so the baseline score of 3 is appropriate.

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 concrete verb ('Gibt ... zurück' / returns) and a concrete resource ('alle Abschnitte eines Lernpfads' / all sections of a learning path), and adds that contained trainings are included. This clearly distinguishes it from sibling tools like motimate_get_moti_chapters, which targets chapters of a MOTI, and motimate_search_learning_paths, which searches for learning paths.

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 description implies the usage context: call this when you have a learning_path_id and need the sections of that learning path, including their trainings. However, it gives no explicit 'when not to use' guidance and does not contrast with sibling tools, so the agent must infer when this is the right choice.

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