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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and external-scope are covered. The description's 'typo-tolerant by default' adds mild behavioral context, but that fact is already stated in the exact_match schema default, so it adds little beyond structured data.

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?

A single sentence with the resource and the key behavioral trait (typo tolerance) front-loaded; no filler.

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 two-parameter, read-only helper with an output schema and annotations covering safety, the description is nearly complete. It could be improved by routing agents to carmax_search when full results are wanted, but nothing essential is missing.

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 coverage is 100%, so both parameters are already documented. The description contributes the domain hint that the term may be a make/model/trim, which is slightly more than the schema's generic 'free-text partial search term', but the fuzzy/exact matching behavior is a restatement of the schema default.

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?

States a specific verb+resource: autocomplete suggestions over a partial term, scoped to make/model/trim. This is clearly distinguishable from the full-search sibling carmax_search by naming the suggestion/autocomplete behavior, though it never names the sibling explicitly.

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?

Usage is implied by 'partial search term' and 'autocomplete' – an agent can infer this is for typeahead-style lookups rather than full results – but there is no explicit when-to-use vs carmax_search or when-not guidance.

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