Skip to main content
Glama

compare_vehicles

Compare Carvana vehicles side-by-side to analyze specs, pricing, mileage, features, and value metrics for informed purchasing decisions.

Instructions

Compare two or more Carvana vehicles side-by-side, showing key specs, price differences, mileage, features, and value metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stock_numbersYesArray of 2-4 Carvana stock numbers to compare
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It describes the output content but doesn't disclose behavioral traits such as whether this is a read-only operation, requires authentication, has rate limits, or how errors are handled. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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?

The description is a single, efficient sentence that front-loads the core purpose ('Compare two or more Carvana vehicles side-by-side') and then lists the output details. Every word adds value without redundancy or unnecessary elaboration.

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

Completeness3/5

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

Given no annotations and no output schema, the description adequately covers the tool's purpose and output content but lacks details on behavioral context like error handling or authentication. For a tool with one parameter and high schema coverage, it's minimally viable but could improve by addressing missing behavioral aspects.

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%, with the parameter 'stock_numbers' clearly documented in the schema as an array of 2-4 Carvana stock numbers. The description doesn't add any parameter-specific semantics beyond what the schema provides, such as explaining what stock numbers are or how to obtain them, so it meets the baseline for high schema coverage.

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

Purpose5/5

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

The description clearly states the specific action ('compare'), the resource ('Carvana vehicles'), and the scope ('side-by-side') with explicit output details ('key specs, price differences, mileage, features, and value metrics'). It distinguishes from siblings like 'get_vehicle_details' by emphasizing multi-vehicle comparison rather than single-vehicle inspection.

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?

The description implies usage for comparing vehicles but doesn't explicitly state when to use this tool versus alternatives like 'get_vehicle_details' for single vehicles or 'search_vehicles' for discovery. It mentions 'two or more' vehicles, which aligns with the schema's minItems=2, but lacks guidance on prerequisites or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/markswendsen-code/mcp-carvana'

If you have feedback or need assistance with the MCP directory API, please join our Discord server