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Get Outcome Rollup

get_outcome_rollup
Read-onlyIdempotent

Get one rolled-up mastery score per learning outcome in a Canvas course. Use it to see overall outcome mastery at a glance, then get_my_outcome_results for the individual results behind each score.

Instructions

Get one rolled-up mastery score per learning outcome for you in a course. Read-only. Use get_my_outcome_results for the individual results behind each score.

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 changedv1.0.2
    • 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."
  2. First observedv1.0.1

TDQS

A4.2/5.0
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 largely restates them. The description does add useful scope context (one score per outcome, per user), but says nothing about ordering, empty-result behavior, or what a missing outcome yields, so it stays at an adequate level.

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 tight sentences with the aggregate-and-scope point front-loaded and the sibling pointer second. No filler or redundancy.

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?

A simple single-param read tool with rich annotations and a fully documented schema needs little more; the description covers purpose and the key alternative. The absence of an output schema leaves return-shape slightly unspecified, but that is minor for a rollup endpoint.

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?

Only one parameter, course_id, and the schema documents it fully at 100% coverage, including its format and where to obtain it (list_courses). The description adds no param semantics beyond the schema, 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 (Get) and resource (rolled-up mastery score per learning outcome) scoped to the calling user in a course. This distinguishes it clearly from get_my_outcome_results, the sibling that returns the underlying individual results.

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?

Explicitly names get_my_outcome_results as the alternative for the individual results behind each score, giving a clear selection rule. An agent knows exactly when to use this aggregate view versus the detailed one.

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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