Skip to main content
Glama

list_modules

Fetch a complete list of modules for a given Canvas course, displaying each module's ID, name, position, and published state.

Instructions

Every module: id, name, position, published state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
courseYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description only lists output fields. It does not disclose whether the operation is read-only, what happens if the course is not found, pagination behavior, or any side effects.

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 short sentence, which is concise, but it omits essential information. It gains some value by naming the output fields, but the brevity comes at the cost of completeness.

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?

With one required parameter that is completely undocumented and no usage context, the agent cannot correctly invoke this tool. The presence of an output schema does not compensate for the missing input semantics.

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?

The only parameter, 'course', is not mentioned in the description at all. Schema description coverage is 0%, and the description does not compensate by explaining what value should be passed or how to format it.

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

Purpose3/5

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

The description names the resource (modules) and lists fields, but lacks an explicit verb like 'list' or 'return'. The tool name makes it clear, but the description itself is a noun phrase. It does distinguish from get_module which implies a single module.

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?

No guidance is given on when to use this tool versus alternatives like get_module or list_module_items. It does not mention required context such as having a course ID or any prerequisites.

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/Canvas-LMS-MCP/canvas-teacher-mcp'

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