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generate_quiz

Read-only

Use this when the user wants to practice, be quizzed, or test their knowledge across multiple words at once. Generates a 1–10 question multiple-choice quiz for a test family (isee, ssat, sat, psat, gre, gmat, lsat, general). Renders the interactive Vocab Voyage quiz widget on supporting hosts; per-answer taps persist mastery for signed-in users. Do not use for definition lookups — call get_definition instead. Do not use for spaced-repetition flashcards — call get_flashcards instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of questions (1–10), default 5
levelNoOptional difficulty hint
test_familyYes

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and non-destructive. Description adds that it renders an interactive widget and persists mastery for signed-in users, which is valuable beyond 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?

Single paragraph, front-loaded with usage guidance, every sentence adds value. No redundancy or filler.

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

Completeness5/5

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

Covers purpose, usage guidelines, parameter details, behavioral traits, and alternatives. No missing context for an agent to correctly select and invoke this tool.

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

Parameters4/5

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

Schema coverage is 67%; description adds meaning for test_family by listing valid values (isee, ssat, etc.) and explains count range (1–10) with default 5, going beyond schema.

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?

Description clearly states the tool generates a multiple-choice quiz for test families, explicitly distinguishes from siblings like get_definition and get_flashcards by saying 'Do not use for... call... instead'.

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

Usage Guidelines5/5

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

Provides explicit when-to-use ('when the user wants to practice...') and when-not-to-use with alternative tool names. Covers context like widget rendering and mastery persistence.

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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TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clear, distinct purposes with detailed descriptions. A few pairs like study_plan_preview vs get_study_plan_recommendation or get_definition vs explain_word_in_context have subtle overlaps, but descriptions effectively differentiate them.

Naming Consistency4/5

All tool names use lowercase snake_case with a consistent verb_noun pattern. Some names are longer but follow the same structure. No mixing of conventions, though the variety of verbs is high.

Tool Count3/5

31 tools is on the high side for a vocabulary server. The scope is broad (definition, quizzes, games, progress, parent/tutor features), but many tools are specific, making the set feel heavy. It earns its count but could be trimmed.

Completeness4/5

The tool surface covers most user needs: learning, testing, progress tracking, parental involvement, and support. Minor gaps like class management or deletion operations exist, but core vocabulary workflows are complete.