list_vehicles
List all vehicles registered in the authenticated user's CarWallet garage, including make, model, year, license plate, current odometer, fuel type, and tank capacity.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all vehicles registered in the authenticated user's CarWallet garage, including make, model, year, license plate, current odometer, fuel type, and tank capacity.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden; it does disclose that results are scoped to the authenticated user's garage (no cross-user access) and enumerates the returned attributes in lieu of an output schema. It omits pagination, ordering, result-size limits, and the empty-garage case, and only implies read-only behavior via the verb 'List'.
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 front-loaded sentence with the scope stated before the field enumeration. Every clause earns its place, and the field list substitutes usefully for the missing output schema.
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 zero-parameter read with no output schema and no annotations, the description covers what is returned and whose data is returned. The remaining gap is operational behavior (ordering, pagination, limits), which is minor for a small per-user collection but not stated anywhere else.
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 tool takes zero parameters, so there is no parameter semantics to document; the description correctly implies an unfiltered full listing. Baseline 4 applies for a no-arg tool.
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 ('List') and resource ('vehicles') with an explicit scope ('authenticated user's CarWallet garage') and enumerates the returned fields, which clearly separates it from siblings like list_fuel_logs or get_service_records. It stops short of naming an alternative outright, so the differentiation is by resource noun rather than explicit routing.
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 never says when to reach for this tool versus get_service_records, list_fuel_logs, or list_sars_trips, nor does it state any preconditions beyond the implicit authenticated session. An agent must infer usage entirely from the tool name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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