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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds useful context that programs are structured as sheets with weeks and days, but it does not mention pagination, sorting, or what is omitted from the response.

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 concise sentence with no wasted words. Its fragment style is slightly less clear than a full verb-led statement, but it is appropriately sized for a simple lookup tool.

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 a fully documented single parameter and annotations, the description is mostly adequate. However, with no output schema, it could say more about whether the result is a list of programs, whether inactive programs are included, and whether any pagination applies.

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?

There is one parameter and the schema description coverage is 100%; the schema explains that studentId comes from list_students. The description does not add anything beyond the schema, 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 clearly identifies the resource (training programs) and scope (assigned to one student), which distinguishes it from the general list_programs sibling. It lacks an explicit verb, but the noun phrase still makes the tool's purpose understandable.

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 student-specific scope implies when to use this tool, but it does not explicitly compare it with alternatives such as list_programs, get_program, or list_student_workouts. Usage is inferable from the description rather than stated.

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