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Get quiz

get_quiz
Read-onlyIdempotent

Read-only. Fetch one of the maker's quizzes with all questions, version and links. Always call before update_quiz so unchanged questions are preserved.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "quiz_id": "<quiz_id>"
    },
    "name": "get_quiz"
  }
}

Input Schema

NameRequiredDescriptionDefault
quiz_idYesquiz_id returned by create_quiz or list_quizzes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so 'Read-only' earns no credit. The description does add value beyond them: it discloses the return contents and the crucial read-before-write constraint that prevents clobbering unchanged questions during an update.

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?

Two short sentences, zero filler, with the capability stated first and the workflow constraint second. Every sentence carries actionable information.

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?

With no output schema, describing the returned fields (questions, version, links) is genuinely useful, and the pre-update workflow rule covers the main integration risk. It does not address behavior when quiz_id is unknown or unauthorized, which is the only remaining gap for a simple getter.

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?

There is a single parameter with 100% schema description coverage, and the schema already explains that quiz_id comes from create_quiz or list_quizzes. The description adds no format, constraint, or lookup detail beyond that, so the baseline of 3 applies.

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?

States a concrete verb and resource ('Fetch one of the maker's quizzes') and enumerates the payload scope (all questions, version, links), which separates it from list_quizzes. It does not explicitly differentiate itself from preview_quiz or get_game_links, so sibling disambiguation is only partial.

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?

Gives an explicit usage rule: 'Always call before update_quiz so unchanged questions are preserved,' naming both the trigger and the consequence. It stops short of saying when not to use this versus preview_quiz, but the core sequencing guidance is unambiguous.

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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