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Submission feedback

get_submission_feedback
Read-only

Retrieve instructor comments, score, and grade for a graded Canvas assignment by course and assignment ID or name.

Instructions

The instructor's comments on your graded submission for one Canvas assignment, with the score and grade. Pass course_id as the Canvas course ID or as the course name and assignment as the assignment ID or its name. Example: "What did the teacher say about my Lab 4 submission in Networking 1?"

Input Schema

NameRequiredDescriptionDefault
course_idYesCanvas course ID, the number Canvas shows for the course, or the course name such as "Networking 1". Ask get_my_courses for the list of IDs and names.
assignmentYesThe assignment ID or the assignment name, for example Lab 4. Ask get_assignments for the list.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.9

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is known. The description adds that this returns instructor comments and score/grade for the user's graded submission, but does not cover edge cases such as missing feedback, ungraded submissions, or permission behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with purpose, then parameter forms, then a natural-language example. It is concise overall, though the parameter guidance substantially duplicates the already-rich schema descriptions.

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 simple two-parameter read tool with full schema descriptions and readOnly/openWorld annotations, the description gives enough context to call it correctly. It also indicates the return content, which helps since no output schema exists, but it omits edge-case behavior.

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 schema already documents both course_id and assignment including accepted names/IDs and references to get_my_courses/get_assignments. The description repeats the same accepted forms without adding new parameter semantics beyond the schema.

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 clearly states the resource and scope: instructor comments on a graded submission for one Canvas assignment, including score and grade. It implicitly distinguishes this from broader sibling tools like get_my_grades or get_assignments, but does not explicitly name alternatives.

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 through the example question and the mention of passing course/assignment identifiers. However, there is no explicit guidance on when to choose this tool over siblings such as get_my_grades or get_assignments, nor any when-not conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.