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cabrt

Canvas MCP Server

by cabrt

get_discussion

Retrieve a single Canvas discussion topic with full message body and metadata by providing course and discussion IDs.

Instructions

Get a single discussion topic with full message body.

Args: course_id: Canvas course ID discussion_id: Canvas discussion topic ID

Returns: {id, title, message, posted_at, author, attachments, ...}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes
discussion_idYes
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It mentions the return format and fields, but does not disclose potential errors, permissions, or rate limits. Acceptable for a basic read tool.

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 short with clear Args and Returns sections. No wasted words, though the format could be slightly more compact. Efficient for a simple tool.

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 low-complexity tool with 2 parameters and no output schema, the description covers purpose, parameters, and return fields. It omits error handling but is sufficient for an agent to invoke correctly.

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?

The schema has no descriptions, and the description adds some meaning by labeling parameters (e.g., 'course_id: Canvas course ID'). However, it does not elaborate beyond the names, leaving interpretation to the agent. Schema coverage is 0%, so description partially compensates.

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 a single discussion topic with full message body', providing a specific verb and resource that distinguishes it from sibling tools like get_discussions (which lists topics).

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 lacks any guidance on when to use this tool versus alternatives, such as when to use get_discussions instead. No context on prerequisites or exclusions.

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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