canvas_course_pages
List all wiki pages for a Canvas course, with optional keyword search to narrow results.
Instructions
List wiki pages for a Canvas course.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| course_id | Yes | ||
| search_term | No |
List all wiki pages for a Canvas course, with optional keyword search to narrow results.
List wiki pages for a Canvas course.
| Name | Required | Description | Default |
|---|---|---|---|
| course_id | Yes | ||
| search_term | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full burden. It indicates a read operation ('List') but does not disclose details like pagination, ordering, or result format. It is minimal but not misleading.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no wasted words. It front-loads the essential purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of output schema, annotations, and only 2 parameters, the description is too brief. It does not describe the return value, any limits (e.g., pagination), or how search_term affects results, leaving significant gaps for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, meaning parameters (course_id and search_term) are not explained in the description. The description adds no meaning beyond what the schema provides, and does not compensate for the low coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb (List) and the resource (wiki pages for a Canvas course). It distinguishes itself from sibling tools like canvas_course_assignments and canvas_course_modules which list different entity types.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It lacks any mention of when-not-to-use or which sibling tool might be more appropriate for specific needs.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/zihan1997/canvas-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server