Skip to main content
Glama

Search Cars

search_vehicles
Read-onlyIdempotent

Search available cars on FINN with filters. Returns matching vehicles with prices, images, and links. All filter values use German names (e.g. "Elektro" not "Electric", "Schwarz" not "Black"). IMPORTANT: Always show detail_url as a clickable link for each vehicle. The vehicle_id field is an internal API identifier for get_vehicle_details — never display it to users.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort order: asc/desc by price, availability, or last_added
fuelsNoFuel types in German (e.g. ["Elektro", "Benzin", "Diesel", "Plug-In-Hybrid"])
limitNoNumber of results (1-10, default 5)
termsNoSubscription term lengths in months (available: 1, 6, 12, 18, 24, 36)
brandsNoCar brands (e.g. ["BMW", "Audi", "Mercedes-Benz"])
colorsNoColors in German (e.g. ["Schwarz", "Weiß", "Blau"])
modelsNoCar models (e.g. ["iX1", "3er Limousine"])
cartypesNoCar types in German (e.g. ["SUV", "Kombi", "Kleinwagen", "Van"])
has_dealsNoFilter for cars with special deals/discounts
has_hitchNoFilter for cars with hitch
max_powerNoMaximum power in kW
max_priceNoMaximum monthly price in EUR
min_powerNoMinimum power in kW
min_priceNoMinimum monthly price in EUR
available_toNoLatest delivery date (YYYY-MM-DD)
max_ev_rangeNoMaximum electric range in km
min_ev_rangeNoMinimum electric range in km
available_fromNoEarliest delivery date (YYYY-MM-DD)
is_young_driverNoFilter for cars allowing drivers under 23

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds important behavioral context: filter values must use German names, detail_url must be displayed as clickable, and vehicle_id must never be shown. These are critical usage rules not captured in annotations or 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?

The description is three sentences, front-loaded with the core purpose. Each sentence serves a distinct role: stating purpose, noting German filter names, and giving critical output handling instructions. No wasted words or repetition of schema details.

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?

Despite no output schema, the description summarizes return content (vehicles with prices, images, links). It also anticipates user pitfalls (German names, internal ID). It could mention default sorting or limit, but those are in schema, making the description sufficient for agent navigation.

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 coverage is 100% with each parameter described. The description adds a general rule that all filter values use German names, which applies to multiple parameters like fuels, colors, and cartypes, but the schema already mentions 'in German' for several. Thus the description adds some value but does not significantly elevate beyond the schema.

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's purpose: 'Search available cars on FINN with filters.' It uses a specific verb and resource, and the mention of 'available cars' plus returning 'prices, images, and links' distinguishes it from sibling tools like get_vehicle_details (specific vehicle details) and get_available_filters (filter options).

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 provides implicit usage guidance by stating that vehicle_id is for get_vehicle_details, linking search to a sibling tool. It also instructs users to always show detail_url as clickable links. However, it does not explicitly say when to use this tool over others or mention get_available_filters for valid filter values.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: filter discovery, URL generation, pricing, vehicle details, and search. There is no overlap between search and details, and pricing is distinct from details by focusing on cost calculation.

Naming Consistency4/5

Four of five tools follow the 'get_' prefix pattern, while 'search_vehicles' breaks the pattern with a verb-noun structure. This is a minor deviation, but the overall naming is still predictable and readable.

Tool Count5/5

With only 5 tools, the server is well-scoped for its purpose of car subscription search and pricing. Each tool serves a necessary function and none feel redundant or superfluous.

Completeness5/5

The tool set covers the full workflow from discovering filters, searching vehicles, viewing details, calculating pricing, and generating internal link URLs. There are no obvious gaps for an informational and linking API, as checkout is handled via returned URLs.

Resources