Skip to main content
Glama
risnake

@rishblob/canvas-mcp-server

by risnake

list_discussion_entries

Fetch discussion replies from a Canvas course by supplying the course ID and topic ID, with optional pagination.

Instructions

List entries (replies) in a discussion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
per_pageNoNumber of results per page (default 20)
topic_idYesDiscussion topic ID
course_idYesCourse ID

Schema Changelog

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

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that the tool lists replies in a discussion; it does not mention read-only semantics, pagination behavior, ordering, whether nested replies are included, or any other 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.

Conciseness5/5

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

The description is a single concise sentence that front-loads the action and resource. Every word contributes to the meaning, with no filler or repetition.

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 list tool with fully documented parameters, the description is minimally adequate: it names the purpose and scope, and the schema covers the inputs. However, with no output schema and no annotations, an agent still lacks information about response format, pagination defaults, and when to choose this tool over related discussion tools.

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 the parameters are already documented in the schema. The description adds slight context by clarifying that entries are 'replies', which gives topic_id more meaning, but it does not add substantial parameter-level details beyond the schema.

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 uses a specific verb ('List') and resource ('entries (replies)') and qualifies the scope with 'in a discussion'. It clearly distinguishes the action from related tools like list_discussions or get_discussion, though it does not name those alternatives explicitly.

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 provides no guidance on when to use this tool versus alternatives such as list_discussions or get_discussion. There are no exclusions, preconditions, or context signals that would help an agent decide between sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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/risnake/canvas-mcp-server'

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