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cars-data.com — Car Specs API

compare_variants

Side-by-side localized specs for 2-4 vehicle variants.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNo
variant_idsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It states the function (retrieval of localized specs) which implies read-only, but does not mention error handling, prerequisites, or side effects. The description is adequate but lacks depth for full transparency.

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, well-formed sentence of 7 words. It is front-loaded with the core action and resource, and every word adds value. No redundant information.

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

Completeness2/5

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

Given no output schema and no annotations, the description should cover input validation, output shape, and error scenarios. It only specifies the core function, leaving gaps about how locale is used, what 'specs' entails, and behavior on invalid input. The tool is simple but the description is incomplete.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only hints at locale via 'localized specs' and variant count via '2-4 vehicle variants', but does not explicitly explain each parameter's purpose, constraints, or format. This leaves significant ambiguity for an AI agent.

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 tool compares vehicle variants side-by-side with localized specs. It specifies the resource (variants) and action (compare), and the number range (2-4) further distinguishes it from sibling tools like filter_cars or list_generations.

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

Usage Guidelines4/5

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

The description implies when to use it: when needing a side-by-side comparison of 2-4 variants. However, it does not explicitly state when not to use it or suggest alternative tools (e.g., using get_specs for a single variant). This is a minor gap.

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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TDQS

A3.5/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: search, filter, get specs, get images, compare, and list generations. No overlap between their functionalities.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (e.g., search_cars, get_specs, list_generations), with no mixed conventions.

Tool Count5/5

With 6 tools covering all core functionalities of a car specs API (search, filter, specs, images, comparison, generations), the count is well-scoped and not excessive.

Completeness4/5

The tools cover the main use cases for a read-only car specs API. The only minor gap is the lack of a dedicated tool to list all brands or models, but the search tool can handle that need.