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Glama

Wingie Enuygun MCP

car_search

Read-only

Search for car rental options between cities. Find available vehicles with pricing, specifications, and rental terms for specific dates and locations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination
tripNoTrip type: 'domestic' for local or 'international' for cross-border travel
limitNoNumber of results per page (maximum 20)
driver_ageNoDriver age (minimum 18 years)
pickup_dateYesPickup date in YYYY-MM-DD format
pickup_timeNoPickup time in HH:MM format
dropoff_dateYesDrop-off date in YYYY-MM-DD format
dropoff_timeNoDrop-off time in HH:MM format
pickup_locationYesPickup city name (e.g., 'İstanbul', 'Ankara')
dropoff_locationYesDrop-off city name (e.g., 'İzmir', 'Antalya')

TDQS

A3.8/5.0
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 description's claim of 'Find available vehicles' aligns with read-only behavior. It adds context about return content (pricing, specifications, terms) but no additional behavioral traits like data freshness or rate limits.

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 concise sentences front-load the core action and outputs, with no redundant or unnecessary information. Every sentence adds value.

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?

Given 10 parameters, 4 required, no output schema, and good annotations, the description adequately explains the tool's inputs and outputs (pricing, specs, terms). It hints at pagination implicitly but could be more explicit about return structure.

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 the baseline is 3. The description mentions 'specific dates and locations' which is already covered by the required parameters. No additional meaning is added beyond what the schema provides.

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 for car rental options between cities' with specific outputs like pricing, specifications, and rental terms. It effectively distinguishes itself from sibling tools such as bus_search or flight_search by focusing on car rentals.

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 finding car rentals but does not provide explicit guidance on when to use this tool versus alternatives like car_allocate or other search tools. No when-not or exclusion criteria are mentioned.

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

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct combination of travel vertical (flight, bus, car, hotel) and action (search, allocate, weather, room details). The weather forecast tools are separated by transport mode with different condition types, so an agent can reliably choose the right one.

Naming Consistency4/5

Most tools follow a clear resource_action pattern such as bus_search, flight_allocate, and hotel_weather_forecast. Minor deviations are hotel_room_detail, which uses a noun phrase, and mcp_enuygun_ping, which breaks the pattern but is a standard connectivity check.

Tool Count5/5

Twelve tools is a reasonable size for a multi-vertical travel booking server covering flights, buses, cars, hotels, and weather. Each vertical has search and weather coverage, with allocation and detail tools where most relevant.

Completeness3/5

Flight and car searches have matching allocation tools, but bus_search has no bus allocation/booking tool and hotel_search/hotel_room_detail have no hotel booking allocation tool. The core search and planning surface is present, but the booking lifecycle is inconsistent across verticals.

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