travel
Server Details
AI travel agent — book flights, hotels, activities, and events worldwide via autonomad.ai.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool access control
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Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.3/5 across 8 of 8 tools scored.
Each tool targets a distinct functionality: search tools cover flights, hotels, activities, events, dining, and transport; create_booking_intent handles finalizing bookings; get_capabilities provides metadata. No overlaps or ambiguity.
All search tools use a consistent "search_<category>" pattern. create_booking_intent and get_capabilities follow verb_noun convention, maintaining predictability across the set.
With 8 tools covering search across major travel domains plus booking and metadata, the count is well-scoped for a travel assistant—neither sparse nor bloated.
Core search and booking lifecycle is covered. Missing post-booking actions like cancellations or modifications, but these are handled via the deep-link web flow, so minor gap.
Available Tools
8 toolscreate_booking_intentAInspect
Create a booking intent — returns a deep-link the user clicks to complete the booking on autonomad.ai. The first booking they complete unlocks a 1-month free Autonomad Premium trial automatically. ALWAYS call this instead of trying to book directly through MCP — bookings require payment + identity verification that must happen on the web.
WHEN TO CALL — generate a deep-link ONLY after the user has picked something concrete: a specific flight, a specific hotel, or both (a trip). Do NOT call this for browsing or for activities/events alone. Activities and events are picked on the autonomad.ai add-ons page AFTER the user lands via the deep-link — Claude should describe them but not generate per-activity/per-event intents.
INTENT TYPE GUIDE — pick exactly one:
'flight' → user picked a flight only. offer_data = the flight offer object verbatim from search_flights, PLUS a top-level
passengers: <number>field (the number of travelers the user originally requested — search_flights individual offers don't echo this back, so you must add it explicitly).'hotel' → user picked a hotel only. offer_data = the hotel offer from search_hotels PLUS top-level
check_inandcheck_out(YYYY-MM-DD) as STRINGS. CRITICAL: search_hotels does NOT echo dates back inside the offer object — you MUST add them yourself (use the same dates you passed to search_hotels) or the booking page will fall back to an empty form and the user will have to re-enter everything. Also includeadults: <number>androoms: <number>.'trip' → user picked BOTH a flight AND a hotel together for the same trip. Pack them in offer_data as { flight: { ...offer, passengers: }, hotel: { ...offer, adults: , rooms: , check_in, check_out } }. ONE deep-link covers both. Don't generate two separate intents (flight + hotel) for the same trip — that produces two deep-links and a confusing user experience.
For activities, events, and experience browsing: describe what's available in your reply, but do NOT call create_booking_intent. Tell the user they'll pick those on autonomad.ai's add-ons page after they click the deep-link for their flight/hotel.
USER-FACING REPLY REQUIREMENTS — every time you create a booking intent, your reply text MUST include:
The deep_link as a clickable markdown link, e.g. 'Complete on autonomad.ai →' or 'Open: <deep_link>'.
The 1-month free Autonomad Premium trial. The response payload carries a
free_trial_offerobject exactly so you can surface it. Use plain English (e.g. 'Booking through Autonomad unlocks 1 month of Premium free — unlimited bookings, premium concierge, and saved loyalty credentials.'). NEVER drop this; it is core to the value proposition and the only reason a booking-intent flow beats a raw Viator/Ticketmaster URL.The link expiry window (e.g. '~30 minutes — say the word and I'll regenerate if it lapses.').
CRITICAL: always echo the original passenger / adults / travelers count into offer_data. Without it the booking page defaults to 2 travelers regardless of what the user asked for.
| Name | Required | Description | Default |
|---|---|---|---|
| offer_data | Yes | ||
| intent_type | Yes | ||
| expires_minutes | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate non-read-only and non-idempotent, but the description adds crucial behavioral context: the tool returns a deep-link that expires (~30 min), triggers a free trial, and requires echoing user counts. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is long but well-structured with clear sections (WHEN TO CALL, INTENT TYPE GUIDE, etc.). Information is front-loaded, and every sentence adds value, though minor trimming could improve conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (7 intent types, nested offer_data, no output schema), the description is remarkably complete. It covers return value, user-facing reply requirements, and all intent-specific nuances.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description compensates with exhaustive details on each intent_type and offer_data shape, including required fields and special cases (e.g., hotel needing check_in/out). It also explains expires_minutes indirectly via link expiry.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool creates a booking intent and returns a deep-link for completing the booking on autonomad.ai. It distinguishes itself from sibling search tools by stating 'ALWAYS call this instead of trying to book directly through MCP' and provides clear purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives explicit when-to-call triggers for pick intents and browse intents. It also advises against generating multiple intents for the same trip, providing clear usage boundaries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_capabilitiesARead-onlyIdempotentInspect
Return the server's version, mode (human vs autonomous-agent), API base, and the list of currently-exposed tools. Useful for the LLM to confirm tool-schema compatibility before issuing a sequence of calls.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint. Description adds specifics on what is returned (version, mode, API base, tools), providing useful context beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with key information. Every sentence adds value: first states returns, second states purpose. No extraneous text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple introspection tool with no input schema and no output schema, the description fully explains what is returned and its utility. No gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist; schema coverage is 100%. Description correctly focuses on the tool's return value without needing to add parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states verb 'Return' and specific resources: version, mode, API base, and list of tools. Differentiates from sibling tools which are for searching or creating specific entities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states utility: 'confirm tool-schema compatibility before issuing a sequence of calls.' Provides clear context on when to use, though no explicit exclusions or alternatives are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_activitiesARead-onlyIdempotentInspect
Search tours, experiences, attractions, sightseeing, and things to do via Viator (200K+ activities worldwide). Filter by city, date range, and category (food tours, walking tours, museums, snorkeling, sailing, hiking, sunset cruises, cooking classes, day trips, etc.). Returns activities with photos, ratings, durations, and per-person pricing. Use this when the user wants to plan day activities, find tours, book experiences, fill a trip itinerary, or pick attractions.
| Name | Required | Description | Default |
|---|---|---|---|
| city | Yes | ||
| date_to | No | ||
| category | No | ||
| date_from | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint, so the description adds value by specifying return fields (photos, ratings, durations, pricing) and the vast scope (200K+ activities). No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences, front-loaded with the primary action, followed by key features and use cases. No extraneous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given four parameters and no output schema, the description covers the tool's purpose, inputs, and outputs well. It could be slightly more precise on parameter details, but overall it is sufficiently complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must compensate. It explains filtering by city, date range, and category with examples, but doesn't detail date format or the distinction between required and optional parameters beyond mentioning 'date range'.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches for tours, experiences, and activities via Viator, listing specific categories and features. It distinguishes from sibling tools like search_dining and search_events by focusing on activities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly advises using this tool for planning day activities, finding tours, or filling itineraries. While it doesn't explicitly state when not to use, the context is clear and differentiates from other search tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_diningARead-onlyIdempotentInspect
Search restaurants, dining options, and reservation availability by city, date, time, cuisine, party size, neighborhood, and price range. Use this when the user wants to find a restaurant, book dinner, plan a meal, get reservations, or pick a place to eat on a trip. Dining partnerships are in progress.
| Name | Required | Description | Default |
|---|---|---|---|
| city | Yes | ||
| date | Yes | YYYY-MM-DD | |
| time | No | HH:MM in 24h | |
| cuisine | No | ||
| party_size | No | ||
| price_range | No | ||
| neighborhood | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, openWorldHint, idempotentHint, destructiveHint. Description adds 'partnerships in progress' which hints at data limitations, but no additional behavioral details like rate limits or auth needs. Adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no fluff, lists all criteria concisely. Second sentence provides usage guidance. Efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 7 parameters, 2 required, no output schema, the description covers purpose and usage but lacks detailed parameter guidance. Partnerships note adds context. Adequate for a search tool but could be more complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is low (29%). Description lists all parameters but doesn't explain formats (except date/time via schema) or constraints (e.g., price_range enum, neighborhood format). Minimal value added over schema for most parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it searches restaurants, dining options, and reservation availability, distinguishing it from sibling tools like search_activities, search_events, etc. It uses specific verbs and resources.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly lists when to use (find restaurant, book dinner, plan meal, get reservations, pick place to eat) and notes partnerships in progress, giving context. Doesn't explicitly exclude alternatives but sibling differentiation is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_eventsARead-onlyIdempotentInspect
Search live events, concerts, sports games, theater, comedy, and shows in a city (Ticketmaster + SeatGeek catalog). Filter by city, date range, category (music / sports / arts / theater / family / comedy), and keyword (artist name, team name, show title). Use this when the user wants tickets to a concert, a sports game, a Broadway show, or any live event during their trip.
| Name | Required | Description | Default |
|---|---|---|---|
| city | Yes | ||
| date_to | No | ||
| keyword | No | ||
| category | No | ||
| date_from | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds value by disclosing the catalog sources (Ticketmaster + SeatGeek) and available filters. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences with no wasted words. First sentence states purpose and scope; second sentence details filters and usage. Information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While the description covers purpose and parameters, it lacks details about the output (e.g., format, pricing info, ticket links). Given no output schema, this is a minor gap but not critical for a search tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema coverage, the description compensates by explaining each parameter: city, date range, category (with examples like music/sports/theater), and keyword (artist/team/show). This adds meaning beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description specifies the verb 'Search' and the resource 'live events, concerts, sports games, theater, comedy, and shows' with a clear scope (city + Ticketmaster + SeatGeek catalog). It distinguishes from siblings like search_activities or search_dining.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use: 'when the user wants tickets to a concert, a sports game, a Broadway show, or any live event during their trip.' It does not mention when not to use or alternatives, but the sibling context implies correct usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_flightsARead-onlyIdempotentInspect
Search airline flights / airfares between two cities by date, cabin class (economy / premium economy / business / first), and number of passengers. Returns available flights from 800+ airlines (Duffel) with real-time pricing, schedules, and stops. Uses IATA airport codes (e.g., MIA, JFK, LAX, LHR). Use this when the user wants to book a flight, fly somewhere, find airfare, or compare airlines.
| Name | Required | Description | Default |
|---|---|---|---|
| origin | Yes | IATA origin airport code (e.g., 'MIA', 'JFK', 'LAX') | |
| passengers | No | Number of passengers (1-9, default: 1) | |
| cabin_class | No | Cabin class (default: economy) | |
| destination | Yes | IATA destination airport code | |
| return_date | No | Return date for round-trip (YYYY-MM-DD). Omit for one-way. | |
| nonstop_only | No | Only show nonstop flights (default: false) | |
| max_price_usd | No | Maximum total price in USD | |
| departure_date | Yes | Departure date (YYYY-MM-DD) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, idempotentHint, and destructiveHint. The description adds that results include 'real-time pricing, schedules, and stops' and uses IATA codes, which goes beyond the annotations. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is three sentences, front-loaded with the core action and parameters, then details and use-case guidance. Every sentence is valuable and no redundant or extraneous text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 8 parameters and no output schema, the description covers the essential purpose and inputs. It mentions real-time pricing and 800+ airlines, which is helpful. However, it doesn't explain output format (e.g., list of flights with prices) or pagination. Still, it's mostly complete for a search tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the description adds minimal new information about parameters. It mentions 'by date, cabin class, and number of passengers' but these are already clear in schema. Thus, baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches flights/airfares with specific parameters (date, cabin, passengers) and covers 800+ airlines using IATA codes. It distinguishes itself from sibling tools like search_hotels and search_transport, so the agent knows exactly what it does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use this when the user wants to book a flight, fly somewhere, find airfare, or compare airlines.' This gives clear positive guidance. While it doesn't mention alternatives like create_booking_intent for booking, it adequately informs when to select this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_hotelsARead-onlyIdempotentInspect
Search hotels, lodging, accommodations, resorts, and places to stay for a trip. Filter by city, country, check-in/check-out dates, room type, nightly price, star rating, and amenities (pool, gym, wifi, etc.). Returns matching properties with rates, photos, and availability across 2M+ properties (LiteAPI). Use this when the user wants to book a hotel, find a place to stay, compare lodging options, or pick a resort.
| Name | Required | Description | Default |
|---|---|---|---|
| city | No | City name (e.g., 'New York', 'Tokyo') | |
| brand | No | Hotel brand name to filter by | |
| country | No | ISO 3166-1 alpha-2 country code (e.g., 'US', 'JP') | |
| check_in | Yes | Check-in date (YYYY-MM-DD) | |
| amenities | No | Required amenities (wifi, gym, pool, spa, restaurant, etc.) | |
| check_out | Yes | Check-out date (YYYY-MM-DD) | |
| room_type | No | ||
| max_rate_usd | No | Maximum nightly rate in USD | |
| min_star_rating | No | Minimum star rating (1-5) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds context beyond annotations by specifying returns (properties with rates, photos, availability) and data source (LiteAPI). Annotations already declare read-only, idempotent, non-destructive behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two well-structured sentences: first states purpose and filters, second describes returns and usage. No wasted words, information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a search tool with 9 parameters (2 required) and no output schema, the description provides a solid overview of returns and data source. Sufficient to set expectations without covering every edge case.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Description summarizes the filter parameters but does not add significant meaning beyond the input schema, which has 89% coverage. The listing of filter categories is helpful but not essential.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly identifies the tool as searching for lodging accommodations, lists relevant filters, and is distinct from sibling tools like search_flights and search_activities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
States explicit use cases ('when the user wants to book a hotel, find a place to stay, compare lodging options...'). Does not mention when not to use, but the context of sibling tools implies alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_transportARead-onlyIdempotentInspect
Search ground transportation, car rentals, and rideshare options (Uber, Lyft, rental cars from Hertz / Enterprise / Sixt / Avis). Returns options timed to a flight arrival for door-to-door travel. Car rental is live across 15+ US metro areas; rideshare partnerships are in progress. Use this when the user wants a rental car, an airport transfer, or rideshare to/from their hotel.
| Name | Required | Description | Default |
|---|---|---|---|
| city | Yes | City or metro area | |
| passengers | No | ||
| vehicle_type | No | ||
| transport_type | No | ||
| pickup_datetime | No | ISO 8601 | |
| pickup_location | No | ||
| return_datetime | No | ||
| dropoff_location | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint, openWorldHint, idempotentHint. The description adds that results are timed to a flight arrival, car rental is live in 15+ US metro areas, and rideshare partnerships are in progress, offering behavioral context beyond the hints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences with no filler. It front-loads the main action, then provides examples and usage guidance, making it efficient and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 8 parameters and no output schema, the description covers the core functionality and limitations (e.g., rideshare partnerships in progress). However, it does not explain how parameters like passengers or pickup_datetime interact with the search, leaving some gaps for a complex tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With only 25% schema description coverage, the description mentions transport_type implicitly by listing options (car rental, rideshare) but does not explain parameters like passengers, vehicle_type, pickup_location, etc. The general context is helpful but insufficient to fully understand parameter usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches ground transportation, car rentals, and rideshare options, listing specific providers (Uber, Lyft, Hertz, Enterprise, Sixt, Avis). It distinguishes from sibling tools like search_flights and search_hotels by focusing on ground transport.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use this when the user wants a rental car, an airport transfer, or rideshare to/from their hotel,' providing clear guidance on when to invoke this tool over alternatives.
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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