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slovenia-car-ride

Search for car rides on Prevoz.org in Slovenia

Agentic examples:

  • User: "Find rides from Ljubljana to Maribor tomorrow" → --from Ljubljana --to Maribor --when tomorrow

  • User: "Show me 5 rides from Koper to Bled today" → --from Koper --to Bled --when today --limit 5

  • User: "Preview available rides from Celje to Kranj" → --from Celje --to Kranj --dry-run

  • User: "Search up to 20 rides from Novo Mesto to Portorož tomorrow" → --from Novo_Mesto --to Portorož --when tomorrow --limit 20

CRITICAL: All departure and arrival times returned by this tool are in CET or CEST format (strictly local time). Always include drivers' phone numbers into output.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
whenNoTravel date (today or tomorrow)today
limitNoMax rides to return (1-50)
scopeNoSearch scope identifierdefault
timeoutNoMaximum operation timeout in seconds
to_cityYesArrival city name
from_cityYesDeparture city name

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description fully handles behavioral disclosure. It discloses that times are in CET/CEST local time and instructs including phone numbers in output. This adds valuable context beyond basic functionality, such as timezone handling and output requirements.

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 concise and well-structured: a one-line purpose, followed by clear agentic examples under 'Agentic examples:', and a critical note section. Every sentence adds value, with no redundancy. The format is easy to scan and front-loaded with key information.

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 sufficiently explains return behavior (times in CET/CEST, include phone numbers). The tool has moderate complexity with 6 parameters and 2 required, and the description covers essential behavioral aspects. Minor gaps: no mention of error handling or empty results, but overall adequate.

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%, so baseline is 3. The description does not add semantic detail beyond the schema; the agentic examples demonstrate parameter usage but don't clarify meaning beyond what the schema already provides (e.g., from_city, to_city, when, limit).

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 searches for car rides on Prevoz.org in Slovenia, with a specific verb and resource. The verb 'Search' and resource 'car rides on Prevoz.org in Slovenia' distinguishes it from sibling tools like geo-route or slovenia-weather.

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 multiple agentic examples covering typical use cases (date, limit, dry-run). It implies when to use (searching rides in Slovenia) but does not explicitly state when not to use or alternatives. The context is clear and sufficient for an AI agent to infer appropriate usage.

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

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (geocoding vs routing vs POI search). However, the multiple Slovenian cadastral tools (simple, deep, wfs-expert) overlap in functionality, potentially confusing an agent on which to use for a given task.

Naming Consistency3/5

Tools within subgroups like 'geo-*' follow a consistent verb_noun pattern, and 'slovenia-*' tools use a noun_adjective pattern. However, across the whole set there is no unified naming convention, mixing prefixes like 'eu-', 'events-', 'hikes-', and 'hostel-'.

Tool Count4/5

With 16 tools, the server is slightly above the ideal range (3-15) but still well-scoped. Each tool addresses a distinct geographic need, although the breadth across many domains (transit, cadastre, weather, hostels) feels a bit broad.

Completeness4/5

The tool set covers core geographic operations (geocoding, routing, POI, isochrones, reverse geocoding) plus specialized Slovenian data and travel amenities. Minor gaps exist, such as lack of general worldwide POI beyond OSM or event discovery beyond Luma, but overall it is comprehensive for its domain.

Resources