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

The annotations already establish readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the tool is safe to call repeatedly. The description adds that results are paginated alphabetically, include stable slugs, and are 'cheap' (which suggests low cost or resource usage). It does not mention rate limits or any other behavioral traits beyond the annotations, so it's strong but just shy of perfect.

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 compact and front-loaded: it states the main purpose, use cases, and key features (slugs, cheap) in two sentences. Every clause contributes meaning, with no redundant or generic phrasing.

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?

This is a straightforward list tool, and the description plus schema cover all necessary information for a user to call it: the purpose, parameters, and behavior are clearly defined. The only minor gap is that the description doesn't explain what a 'term slug' is or how to use it, but playful hint is given (for full definitions use get_key_term). The output schema exists, so the return format does not need to be described. Overall, it is highly complete for the tool's complexity.

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?

The schema description coverage is 100%, meaning all 5 parameters are described in the input schema. The description adds value by mentioning 'stable term slugs' which hints at the subjectSlug parameter, but it doesn't explain any parameter in depth beyond what the schema already provides. Since the schema fully documents each parameter, a baseline score of 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 clearly states the tool lists key vocabulary terms for an AP subject, with alphabetical pagination. It distinguishes itself from get_key_term (singular term vs. list) and list_subjects (which finds subjects), making the purpose unambiguous.

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 states suitable use cases: 'building flashcards or checking what vocabulary a student should know.' It also mentions cost ('Cheap'), which implies it is appropriate for frequent listing. While it doesn't name alternatives, the clear use cases and the existence of get_key_term for individual terms make when to use this tool apparent.

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