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get_quiz_details

Retrieve details for a classic Canvas quiz, including question count and time limit, by specifying course and quiz IDs.

Instructions

Get details for one classic quiz, including question count and time limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quiz_idYes
course_identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries responsibility for behavioral disclosure. It adds a constraint ('classic quiz') and a hint of return contents, but does not explicitly state read-only nature, permission needs, or potential error conditions. 'Get' implies read, but more explicit disclosure would be valuable.

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 a single, efficient sentence that gets straight to the point without extra fluff. It front-loads the purpose and key output fields. However, it omits any usage or parameter context, so while concise, it is not maximally informative for the space used.

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 tool has an output schema and only two self-explanatory parameters, the description is incomplete for a read operation with zero annotations. It lacks usage guidance, parameter clarification, and any note about the 'classic' qualification. An agent may fail to select or invoke it correctly without more context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

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 by explaining the parameters. It does not mention course_identifier or quiz_id at all, nor how they relate to the quiz being fetched. Though the parameter names are self-explanatory, the description adds no semantic value beyond the schema's bare names.

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?

The description clearly states the verb 'Get', the resource 'details for one classic quiz', and specifies key returned fields ('question count and time limit'). This distinguishes it from list_quizzes and other get-details tools.

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 given on when to use this tool versus alternatives like list_quizzes. The description does not mention exclusions, prerequisites, or when a different tool would be more appropriate, leaving the agent to infer usage solely from the name.

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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