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Get Quiz Submission Answers

get_quiz_submission_answers
Read-only

Retrieve a student's submitted answers for a quiz submission by providing its ID.

Instructions

Get a student's answers for a quiz submission.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quiz_submission_idYesThe Canvas quiz submission ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.18.11
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observedv1.18.0

TDQS

B3.3/5.0
Behavior3/5

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

The readOnlyHint and no destructive annotations already establish the safety profileikuha. The description adds minimal transparency beyond that, simply restating that it retrieves submission answers. It does not mention what is included in the answers, such as whether correct/incorrect markers or question text are returned.

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?

One short, direct sentence that clearly identifies the operation and target. It is appropriately minimal and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only getter, the description is minimally adequate. However, it gives no hints about the response shape or how it relates to sibling tools like get_quiz_question_responses, leaving some contextual gaps for an agent deciding whether this is the right call.

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%, with a single parameter (quiz_submission_id) and a clear description. The tool description adds no extra parameter meaning, but the schema already provides sufficient information, so baseline 3 applies.

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 uses a specific verb (Get) and a clear resource (student answers for a quiz submission), which makes the core purpose easy to grasp. It does not explicitly distinguish itself from similar siblings like get_quiz_question_responses or get_quiz_submission_events, so it loses a point for lacking sibling differentiation.

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

Usage Guidelines2/5

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

No guidance is provided about when to use this tool versus alternatives such as get_quiz_question_responses or list_quiz_submissions. The description states only what the tool does, not when it should be selected.

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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