get_student_course_categories

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

With no annotations provided, the description carries the burden of disclosing safety and side effects. It accurately describes this as a retrieval operation ('Retrieve') scoped to the logged-in student's data, making it clear that no mutation occurs. It also names the data source (Service 178) and enumerates the content returned, which adds useful behavioral context.

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, efficient sentence that states the action, the scope, the key result types, and examples, with no filler or redundancy. Every element contributes to an agent's understanding.

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?

The description is sufficiently complete for a parameterless read-only tool with an output schema present. It specifies the scope (logged-in student), the data categories, and the source service. It could slightly improve by mentioning that the returned categories are intended as inputs for category-based queries, but nothing critical is missing.

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 tool has zero parameters, so there is nothing to explain. The schema coverage is trivially 100% and the description correctly avoids inventing parameters. This matches the baseline for parameterless tools.

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 verb ('Retrieve'), the resource ('logged-in student's program types and curriculum course categories'), and provides concrete examples of the values returned (MAJOR, MUST COURSE, etc.). This distinguishes it from the sibling get_student_courses_by_category, which retrieves courses rather than the categories themselves.

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 this is a lookup/context tool that returns the set of categories available to the logged-in student, likely to be used before filtering courses by category. However, it does not explicitly state when to use this tool versus alternatives such as get_student_courses_by_category or list_program_courses, leaving the routing decision to inference.

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