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risnake

@rishblob/canvas-mcp-server

by risnake

list_module_items

List all items in a Canvas course module using course ID and module ID. Retrieve assignments, pages, quizzes, and other module content with pagination.

Instructions

List items in a module

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
per_pageNoNumber of results per page (default 50)
course_idYesCourse ID
module_idYesModule ID

Schema Changelog

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

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral transparency. The verb 'List' implies a read-only operation, but the description does not mention pagination behavior, result format, or any other operational details. It is minimally adequate but not rich.

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

Conciseness4/5

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

The description is a single clear sentence with no filler or redundant information. It is concise and front-loaded, though it could have used the available space to add more useful context.

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

Completeness3/5

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

For a simple listing operation, the description is arguably sufficient to invoke the tool with the required IDs, and the schema covers all parameters. However, without an output schema, the description does not clarify what kind of items are returned or what response shape to expect, leaving some ambiguity.

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 parameters are already documented in the schema. The description adds no additional meaning about course_id, module_id, or per_page beyond the schema, so the baseline score of 3 is appropriate.

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 identifies the verb 'List' and the resource 'items in a module', making the tool's function obvious. It does not explicitly differentiate itself from siblings like list_modules or get_module, but the resource is distinct enough that confusion is unlikely.

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 gives no guidance on when to use this tool versus alternatives such as list_modules, get_module, or other list tools. There are no explicit contexts, exclusions, or references to sibling tools that would help an agent select among them.

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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