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

Annotations already mark the tool as read-only and non-destructive, and the description adds meaningful behavioral context: quiz mode withholds answers, study mode adds explanations and regulatory citations, and questions come from Rotate Pilot's reviewed bank in an FAA-like format. No contradiction with annotations exists, and the description goes beyond what the annotations alone provide.

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

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

Two sentences carry all the essential information: the first front-loads the main behavior and constraints, and the second compactly defines both modes. There is no filler, repetition, or unnecessary restatement of schema enums.

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

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

Given no output schema and four parameters, the description is largely complete: it covers purpose, exam scope, optional area filtering, count limits, and mode-specific return contents. It does not specify the exact JSON response shape or any randomness/ordering behavior, leaving a small amount of inference for the agent.

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

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

Schema description coverage is only 50%, because mode and count lack descriptions. The description compensates by explaining mode=quiz versus mode=study, noting the count range of 1-10, and clarifying the optional area/topic filter. This adds practical meaning to the under-documented parameters.

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

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

The description opens with a specific verb and resource: 'Returns 1-10 multiple-choice practice questions' and adds concrete details like 3 options, the reviewed question bank, and the eligible exams (Part 107, PPL, IFR, CPL, ATP). This clearly distinguishes it from siblings like check_answer, exam_facts, or study_plan even without opening the schema.

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

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

The description gives clear mode-level guidance: mode=quiz returns questions without answers, while mode=study includes answers, explanations, and citations. However, it does not explicitly explain when to choose this tool over sibling tools such as check_answer, exam_facts, or study_plan, nor does it state any exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.