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Travel Carmax

travel_carmax
Read-only

CarMax used cars for a make (and optional model): stock number, VIN, year, make, model, trim, body, price, original price and price-drop flag, mileage, colors, drivetrain, engine, MPG, store name/city/state, highlights (single owner, warranty...), date listed and link; about 20-24 per page, plus the nationwide total. From carmax.com's public search pages via a residential proxy. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
makeYesCar make, e.g. toyota, ford, tesla
modelNoOptional model, e.g. camry, f-150, model-3

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the description is not responsible for the safety profile, yet it adds real operational context: residential-proxy sourcing, ~20-24 results per page plus a nationwide total, and x402 pricing of $0.002 per successful call with failed calls free. Rate limits and empty-result behavior are not covered, keeping this below 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single dense, front-loaded sentence that leads with the resource and scope, then enumerates return fields, pagination, source, and pricing. The only waste is the long return-field list, which duplicates the output schema, but the remaining clauses earn their place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter read-only lookup, the description covers source, pagination size, total count, return breadth, and cost model, while annotations handle safety and an output schema exists to explain return values. Nothing an agent needs in order to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the two parameters already carry examples (toyota, camry). The description only restates 'a make (and optional model)' without adding formats, casing rules, or matching behavior, so the schema does the work and the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific resource and scope: CarMax used-car inventory filtered by make with an optional model, and it names carmax.com as the source, which separates it from sibling vehicle sites like travel_autotrader, travel_carvana, and travel_autonation. It stops short of an explicit action verb (e.g., 'search' or 'list') but the intent is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied via the source ('From carmax.com's public search pages'), with no statement of when to prefer this over travel_autotrader, travel_carvana, or travel_carfax, and no exclusions or prerequisites beyond the payment note. An agent can infer it is for CarMax inventory only, but must decide alternatives on its own.

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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