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risnake

@rishblob/canvas-mcp-server

by risnake

get_course

Retrieve detailed Canvas course information, including syllabus, term, teachers, and student count, by providing the course ID.

Instructions

Get detailed information about a specific Canvas course, including syllabus, term, teachers, and student count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYesThe Canvas course ID

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It clearly indicates a read operation and describes the expected content, but it does not explicitly state that no changes are made, what happens for invalid IDs, or any permission requirements. Useful but incomplete.

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?

A single, well-structured sentence that front-loads the action and resource, then lists the return-relevant details. There is no filler or redundancy.

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 read tool with one fully documented parameter, the description gives enough content detail for an agent to understand the expected result. It lacks explicit handling of error cases or permissions, but the low complexity and clear schema make it substantially complete.

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 description coverage is 100%, so the schema already fully documents course_id as 'The Canvas course ID'. The description does not add meaningful parameter-level detail beyond that, so it meets the baseline without exceeding it.

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 uses a specific verb and resource: 'Get detailed information about a specific Canvas course' and enriches it with concrete content fields (syllabus, term, teachers, student count). This clearly distinguishes it from siblings like list_courses and get_course_settings.

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 phrase 'a specific Canvas course' implies it is for fetching one course by ID rather than listing courses, providing clear context. However, it does not explicitly name alternatives or state when not to use this tool, so it stops short of full 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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