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Canvas LMS MCP – Remote Edition

Grade Impact Ranking

grade_impact_ranking
Read-onlyIdempotent

Rank a course's ungraded and upcoming assignments by how much each point moves your final grade, so you can see where effort pays off most.

Instructions

Rank a course's ungraded and upcoming assignments by how much each point moves your final grade. Read-only. Shows where effort pays most; study_priority_ranking does this across all courses with urgency added.

Input Schema

NameRequiredDescriptionDefault
course_idYesCanvas course ID, a numeric string such as "12345". Get it from list_courses.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.1.3
    • 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 observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the 'Read-only' sentence adds no new information. The description does add useful framing about what is computed (point impact on final grade, effort prioritization) but says nothing about the result shape or how empty/unavailable data is handled.

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, zero filler, with the core behavior and the sibling contrast front-loaded. Nothing is restated that the schema already carries.

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?

With no output schema, the description carries the burden of explaining the return, and it does so directionally ('rank ... by how much each point moves your final grade'). A brief note on the ranking output (fields, or behavior when nothing is ungraded) would make it complete.

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 the single course_id parameter is fully documented in-schema, including sourcing it from list_courses. The description adds no additional meaning about the parameter, so 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 (rank) on a specific resource (ungraded and upcoming assignments) with an explicit ordering criterion (point impact on final grade). It also names the sibling it is not, so an agent can distinguish it from study_priority_ranking without opening either schema.

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 routes the agent to study_priority_ranking for the cross-course, urgency-weighted variant, which effectively defines when to use this course-scoped version. It stops short of stating prerequisites (e.g., that the course must have ungraded work for a meaningful result).

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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