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ahnopologetic

Canvas LMS MCP Server

get_quiz

Retrieve a specific quiz from Canvas LMS using course and quiz IDs to access assessment details and content.

Instructions

Get a single quiz by ID.

Args: course_id: Course ID quiz_id: Quiz ID

Returns: Quiz object

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes
quiz_idYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the action ('Get') but does not disclose behavioral traits like read-only nature, authentication needs, error handling, or rate limits. This is a significant gap for a tool with no annotation coverage.

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 appropriately sized and front-loaded with the main purpose. The structured 'Args' and 'Returns' sections are clear, though the 'Returns' section could be more informative (e.g., specifying what a 'Quiz object' includes).

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

Completeness2/5

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

Given the complexity (a read operation with 2 parameters), no annotations, and no output schema, the description is incomplete. It lacks details on return values (beyond 'Quiz object'), error cases, or behavioral context, making it inadequate for full agent understanding.

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 0%, so the description must compensate. It lists the parameters ('course_id' and 'quiz_id') and their purpose, adding meaning beyond the schema. However, it does not provide details like format constraints or examples, keeping it at a baseline level.

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 verb ('Get') and resource ('a single quiz by ID'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'list_quizzes' or 'get_assignment', which would be needed for a score of 5.

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?

The description provides no guidance on when to use this tool versus alternatives. It lacks context such as prerequisites (e.g., needing course access) or comparisons to siblings like 'list_quizzes' for multiple quizzes, leaving the agent without usage direction.

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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