Skip to main content
Glama

canvas_courses

View Canvas courses accessible via your configured token, with optional filtering by enrollment state like active.

Instructions

List Canvas courses visible to the configured token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enrollment_stateNoactive
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states that it lists visible courses, but does not disclose potential pagination, rate limits, performance implications, or that the enrollment_state parameter filters results. This is minimal disclosure for a tool with no annotations.

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

Conciseness3/5

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

The description is a single sentence, which is concise but omits critical parameter information. It is appropriately front-loaded with the purpose, but the lack of detail reduces its effectiveness for agent usage.

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

Completeness2/5

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

Given the simple tool (1 optional parameter, no output schema), the description is incomplete. It does not explain the return format, pagination, or how the enrollment_state parameter works. For a tool with no annotations, more context is needed to ensure correct invocation.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not mention the enrollment_state parameter at all. The agent receives no explanation of what values are valid or how the parameter affects the output, leaving it with only the default value and type.

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

Purpose4/5

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

The description clearly states the verb 'List' and the resource 'Canvas courses', with a qualifier 'visible to the configured token'. This distinguishes it from sibling tools like canvas_course_assignments or canvas_course_files, which target specific sub-resources.

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?

The description provides no guidance on when to use this tool versus alternatives, such as the more specific course-level tools. It does not mention context, prerequisites, or scenarios where this tool is preferred.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/zihan1997/canvas-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server