List makes
list_makesAll vehicle makes in the ANKUSI Wheel Fitment Dataset with the number of vehicles for each.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_makesAll vehicle makes in the ANKUSI Wheel Fitment Dataset with the number of vehicles for each.
| 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?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds only that results are grouped with per-make vehicle counts; it says nothing about result size, ordering, or whether the list is exhaustive at time of call.
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 no filler; the resource is front-loaded and the returned value is stated directly after it. Nothing could be removed without losing information.
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 enumeration tool with rich annotations and no output schema, the description covers both what is listed and what each entry carries (a vehicle count), which is most of what an agent needs. The exact field names and ordering of the returned entries are the only notable omission.
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, and the schema is an empty object, so there is no parameter meaning for the description to supply. Baseline for a parameterless tool applies.
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 specific resource ('All vehicle makes') and even the payload ('the number of vehicles for each'), so the agent knows exactly what it enumerates. It does not name the siblings (lookup_wheel_fitment, vehicles_by_bolt_pattern), but those are clearly different operations, so confusion risk is low.
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?
There is no explicit when-to-use statement, no mention of alternatives, and no guidance that this is the discovery step before lookup_wheel_fitment. Usage is only implied by the fact that it is a complete enumeration of makes.
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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