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canvas_list_courses

Read-only

List active Canvas courses for self or an observed student, showing course-level grades, total scores, current grading period scores, and term.

Instructions

List active Canvas courses (with course-level grades, total scores, current grading period scores, and term).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
observeeIdNoObserved student's user ID; omit for self.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Addedv1.2.5

TDQS

A3.8/5.0
Behavior3/5

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

The readOnlyHint annotation already indicates a safe read operation. The description adds useful context about the returned content (grades, scores, term), but does not disclose other behavioral aspects such as pagination or error conditions. This is acceptable given the annotation coverage.

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 a single concise sentence that front-loads the action and includes relevant details. Every word adds value, and it is not over-specified.

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?

With no output schema, the description clarifies what the response includes (course-level grades, total scores, current grading period scores, term). For a simple list tool with one optional parameter, this is sufficient; missing details like pagination or ordering are minor.

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

Parameters3/5

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

The only parameter, observeeId, is fully documented in the schema ('Observed student's user ID; omit for self.'). The description does not add any meaning beyond the schema, so the baseline score of 3 applies.

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 states a specific verb ('List') and resource ('active Canvas courses'), and specifies the included data (grades, scores, term), distinguishing it from sibling tools like canvas_get_course (single course) or canvas_list_assignments (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 Guidelines3/5

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

The description implies usage (to list courses) but does not explicitly mention when to choose this tool over alternatives like canvas_get_course or canvas_list_enrollments. No exclusions or alternative conditions are stated.

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