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getHotelAvailability

Live hotel and short-term rental room availability, nightly rates, and airport shuttle info. Use when searching for live short-term hotel or airport accommodation room availability, nightly USD rates, and shuttle options for specific check-in/out dates. Do not use for long-term residential rentals (use getRealEstateStats) or commercial leases (use getCommercialRealEstate). Returns top 25 available properties sorted by proximity and lowest rate.

Input Schema

NameRequiredDescriptionDefault
checkin_dateYesCheck-in date in ISO YYYY-MM-DD format.
checkout_dateYesCheck-out date in ISO YYYY-MM-DD format (must be after checkin_date).
location_queryYesTarget Airport IATA code, city name, or postal code (e.g., LHR, Manhattan, 1051).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed9 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / checkin_date / examples
      Added value: +[
      +  "2026-11-15"
      +]
    • addedInput schema / properties / checkin_date / format
      Added value: +"date"
    • addedInput schema / properties / checkin_date / pattern
      Added value: +"^\\d{4}-\\d{2}-\\d{2}$"
    • addedInput schema / properties / checkout_date / examples
      Added value: +[
      +  "2026-11-18"
      +]
    • addedInput schema / properties / checkout_date / format
      Added value: +"date"
    • addedInput schema / properties / checkout_date / pattern
      Added value: +"^\\d{4}-\\d{2}-\\d{2}$"
    • addedInput schema / properties / location_query / examples
      Added value: +[
      +  "LHR"
      +]
    • addedInput schema / properties / location_query / minLength
      Added value: +2
  2. Changed3 schema fields changed
    • changedInput schema / properties / checkin_date / description
      Previous value: -"Check-in date (YYYY-MM-DD)"New value: +"Check-in date in ISO YYYY-MM-DD format."
    • changedInput schema / properties / checkout_date / description
      Previous value: -"Check-out date (YYYY-MM-DD)"New value: +"Check-out date in ISO YYYY-MM-DD format (must be after checkin_date)."
    • changedInput schema / properties / location_query / description
      Previous value: -"Airport IATA code, city name, or postal code (e.g., LHR, Manhattan, 1051)"New value: +"Target Airport IATA code, city name, or postal code (e.g., LHR, Manhattan, 1051)."
  3. First observed

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the return shape — top 25 available properties sorted by proximity and lowest rate — which is real behavioral value. However, it says nothing about rate freshness/caching, whether rates include taxes and fees, what happens when no properties match, or any auth/rate-limit constraints, all of which matter for a live-pricing tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the capability statement, then usage, then exclusions, then return shape — a sensible order. It loses a point for redundancy: the second sentence largely restates the first ('live hotel and short-term rental room availability, nightly rates' vs 'live short-term hotel or airport accommodation room availability, nightly USD rates').

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?

For a 3-param read tool with a fully documented schema and no output schema, the description covers purpose, exclusions, and result count/sorting, which is what an agent needs to call it correctly. Missing only edge-case behavior (empty results, rate refresh cadence), which is a minor gap rather than a blocking one.

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%, with formats, patterns, examples, and the checkout-after-checkin constraint all documented in the schema. The description adds only that location_query can be an airport IATA, city, or postal code — which the schema already states. Baseline 3 applies since the schema does the heavy lifting.

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?

States a specific verb+resource: live hotel and short-term rental availability, nightly USD rates, and airport shuttle info, scoped to check-in/check-out dates. It explicitly names the siblings it is not (getRealEstateStats, getCommercialRealEstate), so an agent can route without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit 'use when' condition (live short-term accommodation search with dates and rates) and explicit 'do not use' cases with the correct alternative tools named. The only minor gap is it doesn't contrast with adjacent travel siblings like getLiveFlights or getTaxiEstimate, but the required routing decision is fully covered.

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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