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Canvas LMS MCP – Local Edition

by Fireiscoolsolo
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JavaScript
Local

Get Originality Report

get_originality_report
Read-onlyIdempotent

Retrieve the plagiarism or originality score for a Canvas submission and its attachments; use it to check similarity reports. Returns no report when no originality tool is enabled.

Instructions

Get the plagiarism or originality score (e.g. Turnitin) for your submission and its attachments. Read-only. Returns no report if no originality tool is enabled on the assignment.

Input Schema

NameRequiredDescriptionDefault
course_idYesCanvas course ID, a numeric string such as "12345". Get it from list_courses.
assignment_idYesAssignment ID (numeric string). Get it from list_assignments or list_upcoming_assignments.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.0.2
    • changedInput schema / properties / assignment_id / description
      Previous value: -"Canvas ID (numeric string)"New value: +"Assignment ID (numeric string). Get it from list_assignments or list_upcoming_assignments."
    • 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."
  2. First observedv1.0.1

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare read-only, idempotent, open-world, and non-destructive behavior, so 'Read-only' adds little. The description does add one useful behavioral detail: no report is returned if the assignment has no originality tool enabled. It otherwise omits permission, rate-limit, or return-format context.

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?

Three short sentences, front-loaded with the core purpose. Every sentence contributes useful information, including the important empty-report condition.

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?

Given complete parameter descriptions and read-only annotations, the definition is mostly sufficient. It could be stronger by clarifying what the returned score/report includes, but an agent has enough to call it 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?

Schema coverage is 100%, and the schema itself documents both required parameters with sourcing hints. The description adds no parameter-level meaning beyond the schema, so the baseline of 3 is appropriate.

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 names a specific resource and action: retrieving a plagiarism/originality score for a submission and its attachments, with Turnitin as a concrete example. It is clearly distinct from generic submission or attachment tools, though it does not explicitly contrast itself with siblings.

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

Usage Guidelines3/5

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

Usage is implied by the phrasing 'for your submission and its attachments,' and it notes the tool returns nothing when no originality tool is enabled. However, it does not explicitly say when to choose this over alternatives or state prerequisites beyond the empty-result caveat.

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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