list-modifications

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description does not need to repeat safety. It adds scoping context ('given make/model/year/generation') and clarifies the returned data type ('trim/engine modifications'), but discloses no additional behaviors such as pagination or ordering. This is a reasonable level of added value beyond 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?

Two succinct sentences, front-loaded with the main verb, and no redundant or generic phrasing. Every word contributes to the tool's purpose and usage context.

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?

The description is adequate for a simple list tool: it states the resource, the required input parameters, and a workflow hint. It does not explain return value structure or error conditions, but these are less critical given the tool is a read-only list with fully described parameters and annotations. Missing explicit sibling differentiation in the workflow context slightly reduces completeness.

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% for all four parameters, each with a clear description and examples. The description itself adds minimal parameter-level meaning beyond indicating that they collectively identify a vehicle generation. Baseline 3 is appropriate since the schema carries the semantic load.

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 clear verb+resource+scope: 'List all trim/engine modifications for a given make/model/year/generation.' This precisely distinguishes it from sibling list tools like list-makes or list-models, which return different data.

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 phrase 'Useful for drilling into specific engine variants before querying fitment data' provides clear context for when to use this tool, but it does not explicitly name alternatives or exclusions. This is clear context without a full when/when-not comparison.

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