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ahnopologetic

Canvas LMS MCP Server

list_courses

List courses you are actively enrolled in with paginated results. Control output by specifying page number and items per page.

Instructions

List courses that the user is actively enrolled in.

Args: page: Page number (1-indexed) items_per_page: Number of items per page

Returns: PaginatedResponse containing courses

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
items_per_pageNo
Behavior2/5

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

Without annotations, the description carries the full burden of behavioral disclosure. It only states the core action and does not cover authorization, rate limits, or edge cases (e.g., no enrollments). The agent gains minimal insight into behavioral traits.

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 extremely concise, with a clear front-loaded purpose and structured Args/Returns section. Every sentence adds value without unnecessary detail.

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

Completeness3/5

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

Given no output schema and lack of annotations, the description covers purpose, parameters, and return type minimally. However, it omits important details like ordering, filtering, error handling, and pagination behavior, making it adequate but not fully complete.

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?

With 0% schema description coverage, the description adds value by explaining the parameters: 'page number (1-indexed)' and 'number of items per page'. This clarifies semantics beyond the names alone, though it could include default values or constraints.

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 communicates that the tool lists courses the user is actively enrolled in, using a specific verb and resource. It distinguishes itself from sibling list tools by specifying the enrollment scope.

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

Usage Guidelines2/5

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

No explicit guidance is provided on when to use this tool versus alternatives or when not to use it. The description only implies usage for retrieving enrolled courses, leaving the agent without decision-making context.

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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