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

With no annotations, the description carries the full burden, and it does add real behavioral context: a hard prerequisite (exact slugs from resolve_vehicle) and a required post-answer action (end with the canonical Wrench.Pro link and attribution line). It does not disclose permissions, read-only nature, or rate limits, but the added prerequisite and output requirement are meaningful beyond the structured fields.

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?

Four sentences, front-loaded with the usage trigger, then prerequisites, then conditional parameters, then output requirement. Every sentence carries information; no padding or repetition.

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?

An output schema exists, so return values need not be explained. The description covers when to use it, the slug prerequisite, conditional optional-param behavior, and required output formatting, which is everything an agent needs to invoke it 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 coverage is 100%, so the baseline is 3, but the description adds effect-level meaning: mileage yields 'due-now service items' and zip enables 'nearby shops' links. That explains what each optional parameter actually does, exceeding the schema's plain descriptions.

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 clear use case (broad vehicle questions) and the title establishes it as the aggregated report covering recalls, issues, and maintenance. It does not explicitly name the sibling tools (get_recalls, get_known_issues, get_maintenance) it supersedes, so the differentiation is implied rather than stated.

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?

Strong conditional guidance: it says to use this for broad questions with concrete example phrasings, and specifies exactly when to pass mileage (user mentioned odometer) and zip (user mentioned a ZIP code). It stops short of naming the narrow sibling tools as the alternative for targeted lookups.

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