get_booking_adviceGet a data-backed verdict on whether to book a hotel now or wait, for a city and stay dates. Based on tracked daily median prices.
| Name | Required | Description | Default |
|---|---|---|---|
| city | Yes | City name, e.g. 'Lisbon' | |
| checkIn | Yes | Check-in date, YYYY-MM-DD | |
| checkOut | Yes | Check-out date, YYYY-MM-DD |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Mentions data source ('tracked daily median prices') but fails to disclose return format, caching, limitations (e.g., city coverage), or any side effects.
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 efficient sentences with no waste, front-loaded with the core action. Could include more detail without harming 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?
No output schema and no annotations; the tool returns a verdict but the description does not describe the response format or what constitutes a 'verdict'. Incomplete for effective agent use.
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% with clear parameter descriptions. The tool description adds no further meaning beyond the schema, so baseline score of 3 applies.
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 states 'Get a data-backed verdict' with resource 'whether to book now or wait', which is distinct from siblings like get_city_calendar (calendar view) and get_last_minute_deals (deals).
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?
Implies usage for booking timing advice but lacks explicit guidance on when to use this tool versus alternatives like get_city_calendar or get_last_minute_deals.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a distinct aspect: booking advice, calendar events, last-minute deals, and city listing. No functional overlap.
All tool names follow a consistent verb_noun snake_case pattern (get_*, list_*), making them predictable.
With 4 tools, the server is compact yet covers the core functionalities of a hotel booking-timing service.
The tool set provides all necessary operations for the declared domain: advice, calendar, deals, and city discovery. No obvious gaps.