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get_my_courses

Retrieve your enrolled courses from D2L Brightspace, including names, codes, IDs, and dates, to manage your academic schedule.

Instructions

List all courses you're enrolled in. Returns: course name, course code, org unit ID (needed for other tools), access status, start/end dates. Use to answer: "What courses am I in?", "Show my classes", "What's the course ID for X?", "List my enrollments"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the return format (course details like name, code, dates) and hints at behavioral context by noting the org unit ID is 'needed for other tools'. However, it lacks details on permissions, rate limits, or error handling, leaving gaps for a mutation-free tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose in the first sentence, followed by return details and usage examples. Every sentence adds value without waste, making it efficient and well-structured for quick comprehension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is nearly complete: it covers purpose, return values, and usage context. A minor deduction is for lacking explicit mention of any limitations or error cases, though this is less critical for a read-only list tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so the baseline is 4. The description adds no parameter information, which is appropriate here as no parameters exist, maintaining clarity without redundancy.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific verb ('List') and resource ('courses you're enrolled in'), distinguishing it from siblings like get_announcements or get_assignments. It provides concrete examples of questions it can answer, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly lists use cases ('Use to answer...') that guide when to invoke this tool, such as for enrollment queries or finding course IDs. However, it does not specify when not to use it or mention alternatives among siblings, which prevents a perfect score.

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

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