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

Annotations already declare readOnlyHint=true, so the safety profile is covered and the description only needs to add context. It usefully discloses the shape of the returned data (per user, per learning unit, submission time) but says nothing about pagination behavior despite page/items_per_page parameters, or about result volume.

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 front-loaded sentence that describes the payload followed by a short endpoint reference; nothing is padded. The trailing 'LearnWorlds: GET /v2/courses/{id}/grades' line earns little for an agent but costs almost no space.

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 7-parameter read tool with no output schema and minimal annotations, the description covers the resource but omits pagination, filtering semantics, and any indication of result size or format. Adequate to select the tool, thinner than ideal for calling it precisely.

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%, so every parameter is already documented in the schema and the baseline of 3 applies. The description adds no syntax or format detail beyond what the schema supplies, though it indirectly hints at learning-unit filtering by naming the units concept.

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 and resource ('Assessment grades of the users enrolled in a course') plus the granularity of the data ('per user and learning unit, with submission time'), which differentiates it from generic progress tools like learnworlds_get_user_course_progress. It does not, however, explicitly name the sibling it replaces or when this differs from course progress/analytics, so it stops short of a 5.

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?

There is no explicit when-to-use or when-not-to-use guidance, no prerequisites, and no mention of alternatives such as learnworlds_get_course_analytics or learnworlds_get_user_course_progress. The agent must infer relevance purely from the resource noun.

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