Airbnb-Search
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| XBY_APIKEY | Yes | 你的实际apikey (Your actual API key) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| airbnb_searchC | Search for Airbnb listings with various filters and pagination. Provide direct links to the user |
| airbnb_listing_detailsC | Get detailed information about a specific Airbnb listing. Provide direct links to the user |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one retrieves details for a specific listing, while the other searches across multiple listings with filters. There is no overlap in functionality, making it easy for an agent to choose the right tool based on whether it needs specific data or a broader search.
Both tools follow a consistent naming pattern with the prefix 'airbnb_' followed by a descriptive verb_noun combination (listing_details and search). This uniformity enhances readability and predictability, making the tool set easy to navigate.
With only two tools, the server feels under-scoped for an Airbnb search domain. While the tools cover basic search and detail retrieval, there are likely missing operations such as booking, user reviews, or availability checks, which could limit agent effectiveness in handling comprehensive Airbnb-related tasks.
The tool set is severely incomplete for an Airbnb domain. It lacks essential operations like booking a listing, checking availability, managing reservations, or accessing user reviews. This creates significant gaps that will likely cause agent failures when trying to perform common Airbnb workflows beyond simple searching and viewing details.