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

readOnlyHint=true already tells the agent this is a safe read, so the bar is lower. The description usefully discloses the return granularity (per user and learning unit, with submission time) and the underlying GET endpoint, but says nothing about pagination behavior or result volume for a 7-parameter list endpoint.

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 tightly-written sentence puts the resource and its granularity first, then the endpoint shorthand. Nothing is wasted and nothing important is buried.

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 no output schema, the description partially compensates by stating the result shape (per user, per learning unit, with submission time). Combined with 100%-documented parameters and a readOnly annotation, an agent has enough to call it correctly; only pagination/return-detail behavior is unaddressed.

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 including the users and learning_units filters is already documented, with learning_units even cross-referencing learnworlds_get_course_contents. The description adds no parameter-level detail, so the baseline 3 applies.

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?

Names a specific resource and scope: assessment grades of users enrolled in a course, broken down per user and learning unit with submission time. That granularity distinguishes it from bulk analytics siblings like learnworlds_get_course_analytics, though no sibling is named explicitly.

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 when-to-use guidance, no prerequisites, and no routing to alternatives such as learnworlds_get_user_course_progress or learnworlds_get_course_analytics. The agent must infer that this is the per-assessment-grade read tool purely from the resource name.

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