Skip to main content
Glama

download_discussion_entries

Download all student posts and replies from a Canvas discussion topic as a JSON file for offline analysis or record-keeping.

Instructions

Download all entries/replies for a discussion topic as a JSON file — the actual student posts and replies. Unlike list_submissions (which shows grading metadata for graded discussions), this downloads the discussion content itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYesCanvas course ID
output_dirNo./downloads
discussion_idYesDiscussion topic ID
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool downloads the actual discussion content as a JSON file, but it does not mention file handling behaviors such as overwriting, directory creation, or output file naming conventions.

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?

Two sentences, front-loaded with the main action, no filler. The second sentence adds a useful contrast without unnecessary detail.

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?

The tool is simple, but there is no output schema and no description of return values or file output structure. The description covers the core purpose and differentiation, but misses practical details like how output_dir is used or what the JSON contains.

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 coverage is 67%: course_id and discussion_id have descriptions, but output_dir lacks a description and the description does not explain it. The description adds minimal parameter context beyond what schema already provides.

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 states a specific verb and resource: 'Download all entries/replies for a discussion topic as a JSON file'. It also explicitly distinguishes itself from a sibling tool ('Unlike list_submissions...'), making the purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly contrasts with list_submissions, clarifying when to use this tool (for actual discussion content) versus when to use the alternative (for grading metadata). This gives clear usage context.

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/hughsibbele/Canvas-Agent'

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