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Glama

Voxcars (Portugal)

get_car_detail

Read-onlyIdempotent

Get the complete record of one used-car listing in Portugal by its slug. Use this after search_cars when the user asks about a specific car: full description, features, photos, seller, and the original source URL to cite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesUnique listing slug, as returned by search_cars.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kmNo
urlYesCanonical listing page on this market's domain.
bodyNo
fuelNo
makeYes
slugYesStable identifier; pass to get_car_detail or find_similar_cars.
yearNo
colorNo
doorsNo
modelYes
priceNonull means the source does not publish a price (on request).
seatsNo
titleYes
originNoNACIONAL = domestic; IMPORTADO = imported.
photosNoUp to 5 image URLs.
sourceNoAggregator platform the listing came from; null when published directly with us.
variantNo
currencyYesISO 4217 code of this market.
districtNo
engineCcNo
featuresNo
power_cvNoEngine power in metric horsepower (CV/PS).
conditionNo
sourceUrlNoOriginal listing URL at the source. Cite this alongside url.
sellerTypeNo
descriptionNo
publishedAtYesISO 8601 date the listing was first seen at the source.
transmissionNo

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds behavioral value by enumerating what the returned record includes—full description, features, photos, seller, and original source URL to cite—which helps the agent know what to expect beyond the output schema.

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?

Two sentences with no filler; the first sentence states the core action and scope, and the second provides usage context and return-value expectations. Every clause earns its place, and the most important information is front-loaded.

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?

Given a single well-documented required parameter, an output schema, and annotations covering safety and idempotency, the description supplies the remaining contextual need: when to invoke it and what the result is used for. Nothing critical is missing for an agent to select and call the tool correctly.

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?

The input schema already provides 100% coverage for the only parameter, slug, describing it as the unique listing slug returned by search_cars. The description merely repeats 'by its slug' without adding new semantic detail, so the schema carries the full burden and the baseline of 3 is appropriate.

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 starts with a specific verb and resource: 'Get the complete record of one used-car listing in Portugal by its slug.' It clearly names the listing scope and the identification mechanism, and it differentiates from sibling search tools by focusing on a single record's full detail rather than a list.

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 explicitly says 'Use this after search_cars when the user asks about a specific car,' providing a clear trigger condition and preceding-step context. It does not explicitly enumerate when-not-to-use or name alternatives like find_similar_cars or get_price_stats, but the context is unambiguous enough to guide correct selection.

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

A4.1/5.0
Disambiguation4/5

Most tools have clear boundaries: search_cars handles structural queries, search_cars_by_description handles descriptive queries, and find_similar_cars finds alternatives to a reference listing. There is some overlap between search_cars and find_similar_cars when finding comparable cars, but the descriptions clarify which to use for each intent.

Naming Consistency4/5

Names broadly follow a verb_noun pattern: search_cars, get_car_detail, get_price_stats, search_articles. The main inconsistency is mixing 'search' and 'find' verbs, and search_cars_by_description is longer and less symmetric than the others, but the pattern remains readable and predictable.

Tool Count5/5

Six tools is well-scoped for a car search and market-analysis server. Each tool serves a distinct user need from listing search to price statistics to editorial content, with no redundancy or bloat.

Completeness5/5

The tool surface covers the complete read-only lifecycle of a car-search domain: structural search, descriptive search, similar-car discovery, detail retrieval, market-level price stats, and supporting editorial articles. No obvious dead ends or missing operations within the stated purpose.

Resources