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create_quizzes

Create one or more quizzes in a batch operation, with configurable passing rules, attempts, and feedback options. Questions are added separately afterwards.

Instructions

Create one or more quizzes. This is a BATCH operation.

    `name` is required (max 500). Optional, with their defaults:
    `description_html` (""), `alignment` (center; left/center/right),
    `passing_percentage_correct` (0), `max_attempts` (0 = unlimited),
    `limit_question_count` (0 = use every question), `time_limit_seconds`
    (null = unlimited, max 3600000), and the booleans `randomize_questions`,
    `randomize_answers`, `require_correct_response`, `show_question_feedback`,
    `show_results_on_failure`, `skip_start_screen` (all false).

    A new quiz has NO questions - create them separately with `create_questions`
    and `quiz_id` set. Requires the `quizzes:write` OAuth scope.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quizzesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYes
noteYes
totalYes
failedYes
succeededYes
Install Server

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark this as a non-read, non-idempotent mutation, and the description adds meaningful behavioral context: batch semantics, all optional field defaults, the empty-quiz behavior, and the required quizzes:write OAuth scope. This goes well beyond what the annotations alone convey. No contradiction with annotations.

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?

The description is front-loaded with the core purpose, then uses a compact, scannable list for defaults and a short note for the follow-up creation step. Every sentence or list item adds necessary information without padding.

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?

The description covers what is created, how parameters behave, what a new quiz does not contain, and the required OAuth scope, with an output schema available for return shape. The main unaddressed detail is batch failure behavior, such as whether a partial failure creates some quizzes or none, which would be useful for an agent invoking a batch operation.

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

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is extremely thin, with only a quizzes array and additionalProperties: true, so the description carries the full burden. It compensates thoroughly by documenting the required name field, max length, every optional field, defaults, alignment enum values, and the meaning of 0/null for limits and timeouts.

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 opens with a specific verb and resource: 'Create one or more quizzes.' It also identifies the operation as a BATCH operation, which distinguishes it from single-item or update/delete quiz siblings like update_quizzes and delete_quizzes. The purpose is immediately unambiguous.

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

Usage Guidelines4/5

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

The description clearly states this is a batch creation tool and provides concrete follow-up guidance: a new quiz has no questions, so the agent should use create_questions with quiz_id set. It does not explicitly contrast with update_quizzes, but the create-vs-update distinction is contextually obvious.

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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