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cabrt

Canvas MCP Server

by cabrt

get_modules

Retrieve module structure for a Canvas course, showing module names, positions, item counts, and states.

Instructions

Get module structure for a course.

Args: course_id: Canvas course ID

Returns: {"modules": [{id, name, position, items_count, state}, ...], "count": N}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It states the return format (JSON with modules array and count), which is useful, but does not disclose any behavioral traits like permissions, side effects, or read-only nature beyond the implicit verb.

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, using a single line for purpose and a few lines for parameters and return. Every sentence is informative with no wasted words.

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 getter tool with one parameter, the description adequately covers input and output. It lacks error information but is sufficient for agent selection and invocation.

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?

The description adds meaning by clarifying 'course_id' as 'Canvas course ID' and explicitly documents the return format. This adds value beyond the input schema, which only specifies type and required status.

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 'Get module structure for a course' with a specific verb and resource, distinguishing it from siblings like get_module_items and other course retrieval tools.

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?

No explicit when or when-not to use the tool is given; usage is implied by the tool's name and purpose, but no alternatives or context exclusions are mentioned.

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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