Skip to main content
Glama

Create Course

create_course
Destructive

Create a new course in a Canvas account by providing an account ID and course name. Optionally set course code, start, and end dates.

Instructions

Create a new course in a Canvas account. Returns the created course object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the course
end_atNoCourse end date in ISO 8601 format (e.g. 2026-05-15T00:00:00Z)
start_atNoCourse start date in ISO 8601 format (e.g. 2026-01-15T00:00:00Z)
account_idYesThe Canvas account ID to create the course in
course_codeNoThe course code (e.g. CS101)
Behavior3/5

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

The description adds minimal behavioral detail beyond the annotations. It does not mention side effects (though annotations already flag destructiveHint), permission requirements, error conditions, or any caveats. The only extra detail is that it returns the created course object, which is a nominal outcome.

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, consisting of two short sentences with no redundant information. Every word contributes to stating the purpose and the return value.

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?

For a simple tool with no output schema and flat parameters, the description is adequately complete. It states the action and the return value, and the schema provides parameter context. There is no mention of edge cases or error handling, but that is not required for a straightforward creation action.

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?

Schema descriptions cover 100% of parameters (name, end_at, start_at, account_id, course_code), each with a clear explanation. The tool description does not repeat or add any new meaning to the parameters, so the baseline 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 clearly states the action ('Create a new course in a Canvas account') and distinguishes it from other sibling tools that create different resources (e.g., assignments, discussions). It also mentions the return value, making the purpose unambiguous.

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 does not explicitly state when to use this tool versus alternatives, nor does it mention any preconditions or context where this tool is preferred. It only states the basic action, leaving the agent to infer usage from the tool name and siblings.

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/bruchris/canvas-lms-mcp'

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