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Crawlora MCP

carmax_vehicle

Read-only

CarMax vehicle listing detail: full vehicle spec, equipment features, labeled specifications, warranty coverage, and accident/owner history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idYesOptional CarMax store id for pricing/transfer-fee display context (any valid store id works -- it does not need to be this vehicle's own store). Defaults to a fixed CarMax store when omitted.
stock_numberYesCarMax stock number, the numeric path segment of a /car/{stock_number} URL.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the substantive detail that the response includes warranty and accident/owner history, which is useful content context, but it discloses nothing about auth, rate limits, or freshness of the listing data.

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

Conciseness5/5

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

A single front-loaded sentence listing the returned data categories with zero filler. Nothing is padded or redundant.

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

Completeness4/5

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

With an output schema present, the description need not explain return structure, and params plus annotations are fully covered. What is missing is workflow context (how to obtain a valid stock_number), which keeps it just short of complete.

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%, so both parameters are fully documented in the schema, including the non-obvious note that store_id need not be the vehicle's own store. The description adds no parameter-level meaning beyond this, so 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?

Names a specific resource and verb-equivalent ('CarMax vehicle listing detail') and enumerates the payload contents (spec, equipment, warranty, accident/owner history). It reads clearly as the detail-lookup counterpart to carmax_search, though it never explicitly names that sibling to sharpen the distinction.

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

Usage Guidelines2/5

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

There is no when-to-use guidance at all — nothing tells the agent it must first obtain a stock_number via carmax_search, nor when carmax_vehicle is preferable to carmax_vehicle_recommendations. The agent must infer the workflow.

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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