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Answer quiz question

quiz_answer
Destructive

Answer a quiz question: choice is the option number, correct is a self-check, attempt_id is the assess_attempt attempt for "say it aloud", hide is defer, skip or known, hint means the text in "By ear" was opened before answering, skills (with hide known) are the "known" levels to mark (all five without it), exact (with skills) also unmarks the levels not listed, answer_ms is the answer time in ms (not saved outside 0...3 600 000).

Input Schema

NameRequiredDescriptionDefault
idxYes
hideNo
hintNo
exactNo
choiceNo
skillsNo
correctNo
answer_msNo
attempt_idNo
session_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

Annotations declare destructiveHint=true and non-idempotent, so an agent knows this mutates state, but the description never warns about that or says what gets altered/overwritten, nor whether an answer can be re-submitted. It does add useful behavioral facts (answer_ms outside 0...3,600,000 is not saved), which lifts it above a 1.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is compact with little redundant filler, but it is one dense run-on sentence with no front-loading of the parameter glossary, making it hard to parse quickly. Structure is weak even though the content earns its place.

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

Completeness3/5

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

For a 10-parameter, annotated, no-output-schema tool, the description covers most parameters adequately, but omits the two required ones (session_id, idx) and gives no account of what happens on success or the destructive consequence flagged in annotations.

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 0% with 10 parameters, so the description carries the burden and does explain nearly all of them (choice, correct, attempt_id, hide, hint, skills, exact, answer_ms). Only idx and session_id are left undefined, and the explanations are terse ('hide is defer, skip or known') but directionally useful.

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?

Opens with a specific verb+resource ('Answer a quiz question') that clearly distinguishes it from quiz_start, quiz_end, quiz_history, and quiz_result. The remainder elaborates parameters rather than the purpose, but the core act is unambiguous.

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?

There is no explicit when-to-use/when-not guidance versus siblings like quiz_after, quiz_result, or assess_attempt beyond the passing mention that attempt_id is 'the assess_attempt attempt for say it aloud'. An agent must infer the workflow context on its own.

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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