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ahnopologetic

Canvas LMS MCP Server

list_assignments

Retrieve assignments from a Canvas course using filters like bucket (past, upcoming), order_by (due_at, position), and pagination. Optionally include submission data for grade status.

Instructions

List assignments for a course.

Args: course_id: Course ID bucket: Bucket to filter assignments by (past, overdue, undated, ungraded, unsubmitted, upcoming, future) order_by: Field to order assignments by (due_at, position, name) include: Optional list of additional data to include (e.g., ["submission"] to see grade status) page: Page number (1-indexed) items_per_page: Number of items per page

Returns: PaginatedResponse containing assignments

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes
bucketYes
order_byYes
includeNo
pageNo
items_per_pageNo
Behavior3/5

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

With no annotations, the description carries the burden. It describes parameters and return type (PaginatedResponse) but does not disclose side effects (likely read-only), rate limits, or error conditions. The behavioral transparency is adequate but not exhaustive.

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 concise, using a clear args/returns format with no wasted words. The purpose is front-loaded, and every sentence adds necessary information.

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 6 parameters and no output schema, the description covers all parameters and mentions the return type. It does not detail the PaginatedResponse structure, which is acceptable. Could mention that course_id must be valid, but overall it's complete enough.

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?

Schema description coverage is 0%, but the description provides detailed explanations for each parameter (e.g., include for submission status, bucket filters, order_by options). This adds significant value beyond the bare schema.

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 it lists assignments for a course, using a specific verb and resource. It distinguishes itself from siblings like get_assignment (single) and list_submissions (different resource).

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 explains parameters but does not explicitly state when to use this tool versus alternatives like get_assignment. The context is clear enough for an agent to infer usage, but lacks explicit exclusionary guidance.

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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