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Get Content Export

get_content_export
Read-onlyIdempotent

Check a Canvas course export's status and retrieve its download URL once processing finishes; use after starting an export to get the completed file.

Instructions

Check a course export's status and get its download URL once Canvas has finished. Read-only. Start an export with create_content_export.

Input Schema

NameRequiredDescriptionDefault
course_idYesCanvas course ID, a numeric string such as "12345". Get it from list_courses.
export_idYesContent export ID returned by create_content_export.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.0.2
    • changedInput schema / properties / course_id / description
      Previous value: -"Canvas course ID"New value: +"Canvas course ID, a numeric string such as \"12345\". Get it from list_courses."
    • changedInput schema / properties / export_id / description
      Previous value: -"Canvas ID (numeric string)"New value: +"Content export ID returned by create_content_export."
  2. First observedv1.0.1

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so "Read-only" is largely redundant. The description nonetheless adds real behavioral value by disclosing that the export may still be in progress and that the download URL only exists after completion — a timing trait annotations cannot express.

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 short sentences: the core action and outcome lead, followed by a dependency pointer and a safety note. No filler and nothing buried.

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 two-parameter read tool with annotations and a fully documented schema, the description covers what the agent needs, including the return value (download URL) despite there being no output schema. It only misses guidance on the pending/polling case, which keeps it from a full 5.

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% and both parameters (course_id, export_id) are documented in the schema, including provenance pointers to list_courses and create_content_export. The description adds no parameter-level detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource — check a course export's status and retrieve its download URL — with the completion condition ("once Canvas has finished") made explicit. It is clearly separable from create_content_export and from file-download siblings.

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

Usage Guidelines4/5

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

Explicitly names the prerequisite tool create_content_export, making the create-then-poll sequence unambiguous. It stops short of saying how or when to poll (e.g., re-check after pending status) or what not to do, so it is strong context rather than full when/when-not guidance.

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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