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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds behavioral context beyond annotations: it returns short passages with FAA citations and lesson links, and instructs the agent to cite those labels. It does not mention pagination or exact result count behavior, but the limit parameter covers that. This is solid value beyond the annotations.

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?

The description is two sentences, front-loaded with the core purpose and usage trigger, followed by the return format and citation instruction. Every sentence earns its place; no filler or repetition of schema details.

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?

For a read-only search tool with a simple 2-parameter schema and no output schema, the description covers the purpose, when to use it, what it returns, and how to use the results. The only minor gap is that it doesn't explicitly state what happens if no results are found or how the limit interacts with the citation labels, but these are not critical for an agent to invoke the tool correctly.

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 100%, so the schema already documents both parameters (query and limit) with descriptions. The description adds the context that the query should be 'the user's question, in their own words' and that results are passages with citations, but it doesn't add new parameter-level meaning beyond the schema. Baseline 3 is appropriate.

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 states a specific verb ('Answer'), a specific resource ('US private-pilot (FAA) ground-school question'), and a source-cited curriculum. It also enumerates the exact topics covered (regulations, airspace, VFR weather minimums, etc.), which distinguishes it from sibling tools like get_lesson or get_practice_question. The scope is clear and actionable.

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 explicitly says 'Use this whenever the user asks about...' and lists the domains, giving an agent a clear trigger condition. It also implies when not to use it (e.g., for retrieving a specific lesson or practice question, which are siblings), and instructs the agent to cite the returned labels in the answer. This is strong usage guidance.

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