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IYT Test

Practise a theory section

practice_section
Read-only

The questions on what a theory section explains, at random, without the answers.

Input Schema

NameRequiredDescriptionDefault
langNoLanguage of the text: en (default) or ru. What is not translated yet comes in English.
countNoHow many (default 5).
levelYesLevel id, e.g. bareboat-skipper.
topicYesTopic id, e.g. buoyage.
excludeNoQuestion ids the student has already had in this conversation, so they are not repeated.
sectionYesSection id, e.g. cardinal.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / level / description
      Previous value: -"Level id from list_levels, e.g. bareboat-skipper."New value: +"Level id, e.g. bareboat-skipper."
    • changedInput schema / properties / section / description
      Previous value: -"Section id from list_theory."New value: +"Section id, e.g. cardinal."
    • changedInput schema / properties / topic / description
      Previous value: -"Topic id from list_theory."New value: +"Topic id, e.g. buoyage."
  2. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. Beyond that, the description does add two genuine behavioral facts: selection is randomized and answers are withheld from the response. It says nothing about what a question object contains or how many are returned by default.

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 a single short sentence with no padding, which is good, but the phrasing is garbled enough that an agent may need a second read to parse 'questions on what a theory section explains'. Front-loading is fine; clarity is the problem, not length.

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?

With no output schema, the description carries the burden of explaining what comes back, and it only says answers are absent, not what fields a question has. For a tool requiring three ids (level, topic, section) it also never states that these must come from list_levels/list_theory. Adequate but with clear gaps.

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?

Schema description coverage is 100%, so all six parameters, including the lang enum, count bounds, and the exclude list, are already documented in the schema. The description adds only the 'at random' framing, which loosely relates to count and exclude but supplies no detail the schema lacks. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that the tool returns randomly selected questions about a theory section, without answers, but it is a noun phrase rather than a verb+resource statement and the wording ('The questions on what a theory section explains') is awkward. It does not differentiate itself from the sibling get_questions, which an agent would reasonably consider equivalent.

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 guidance on when to use this rather than get_questions or question_of_the_day, and no mention of prerequisites such as needing valid level/topic/section ids. The only implicit cue is the 'without the answers' note, which hints it pairs with check_answer, but that is never stated.

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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