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Tjaz

Find quizzes on Tjaz

find_quizzes
Read-only

Finds quizzes others have made on tjaz.com/quizzes, by words (typos are forgiven), subject and who they're for, and gives each with a link to play it. Use this when the user wants a quiz that may already exist, or quizzes to play

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoWords to search for, e.g. vulkaner
playersNoWho will play the quiz. An age group: children (6–12), teens (13–17), adults (18–64), seniors (65+); or, for school, a level: grade0 is the first year of school at about 6 (kindergarten, Danish 0. klasse), grade1 to grade12 the school years after it (grade4 is US Grade 4, Danish 4. klasse, German 4. Klasse, UK Year 5; grade10–grade12 are the last three years of upper secondary school, e.g. Danish 1.g–3.g), then bachelor, master, phd, or nobel for experts. Leave it out when the user didn't say who will play: Tjaz then reads it from the description, as tjaz.com does
subjectNo
languageNoOptional: only quizzes in this language: the language's code as Tjaz has it, ISO 639-1, e.g. da, en, ar, uk, and nb for Norwegian

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
moreNo
quizzesYes
searchedForNoWhat Tjaz searched for instead, when it corrected a typo in the search

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds real value by disclosing fuzzy word matching ('typos are forgiven') and that each hit comes with a playable link. It stops short of saying how many results return or whether they are ranked, which matters for a search tool.

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?

Two sentences, front-loaded with the purpose before the usage trigger; nothing is padding. The phrasing 'who they're for' is slightly loose for what the schema calls players, but it reads quickly.

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?

An output schema exists, so return values need no explanation, and three of four parameters are at least gestured at. The gap is the undocumented language filter and any hint about result volume or ordering in a zero-required-parameter search.

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?

With 75% schema coverage and heavily documented enums for players and subject, the schema does the heavy lifting. The description only adds that 'words' (search) tolerate typos, and never mentions the language parameter at all.

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?

States a specific verb (finds) and resource (quizzes made by others on tjaz.com/quizzes), plus what the result contains (a link to play each). The qualifier 'others have made' separates it from make_quiz, save_quiz and get_quiz without needing the schemas.

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?

'Use this when the user wants a quiz that may already exist, or quizzes to play' gives a clear positive trigger condition. It does not explicitly exclude alternatives or name a sibling for the create-new case (make_quiz), leaving that inference to the agent.

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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