list_students
List all students enrolled in a Canvas course using its course ID.
Instructions
List all students enrolled in a course.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| course_id | Yes | The Canvas course ID |
List all students enrolled in a Canvas course using its course ID.
List all students enrolled in a course.
| Name | Required | Description | Default |
|---|---|---|---|
| course_id | Yes | The Canvas course ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true and openWorldHint=true, so the description's 'List' already implies read behavior. However, no additional behavioral context (e.g., pagination, sorting, latency) is provided beyond the annotations.
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, well-formed sentence with no redundancy. It is appropriately concise and front-loaded with the core purpose.
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?
Given the simplicity of the tool (single param, read-only), the description is adequate but lacks details about output format or scope (e.g., whether it includes only currently enrolled students). Siblings like list_course_users suggest role ambiguity, which is not clarified.
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 input schema has one parameter (course_id) with complete description coverage. The tool description adds no extra meaning beyond what the schema already provides, so baseline 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 states the tool lists all students enrolled in a course, with a specific verb and resource. It distinguishes from sibling tools like list_course_users by specifying 'students' rather than generic users.
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?
No guidance on when to use this tool versus alternatives like list_course_users. The description does not include when-not-to-use or prerequisites, leaving the agent without context for tool selection.
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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