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Check live availability and per-operator quotes for a stay

check_property_availability
Read-only

Live availability and per-operator quote for a specific property over a specific stay window. Performs a live date-aware lookup against the BluePillow search layer, returns date-specific prices, rooms-left scarcity signals, breakfast-included and refundable flags, and a per-operator deep link to complete the booking.

Useful when the user has specific dates in mind for a property they already identified — typically via search_stays or get_property_details. The complementary get_property_details tool answers "what is this property like" with static facts; this tool answers "can I book it for these dates at what price" with live, date-specific data.

Required input: property_id (the id from a search_stays result, opaque string starting with prop_), dates (check_in + check_out, ISO 8601), and guests (adults / children / infants composition). Without these the live lookup cannot proceed.

Natural-language date references — "tonight", "this weekend", "next weekend", "the weekend of July 4", "Memorial Day weekend", "long weekend in May" — translate to concrete check_in / check_out values at the call site; concrete ISO dates also work. check_in is a date in the real-time calendar that is today or later; past values are rejected at the API boundary.

user_country, currency, and language carry the user's locale, not the property's. Prices are returned in currency if set, else derived from user_country, else USD — pass user_country and/or currency whenever you know the user's location/currency so the quote matches what they'll pay; don't rely on the USD default. user_country and language also localize the web_url booking link.

Response shape:

  • availability_statusavailable, unavailable, or unknown. Available means rooms confirmed at the operator level for the requested window; quote freely. Unavailable means no rooms for these dates — surface that explicitly to the user with a suggestion of alternate dates (there is no price for these dates).

  • offers[] — per-operator quotes. Each carries amount (total stay), amount_per_night (per-night), currency, breakfast_included, refundable, rooms_left, and deeplink_url. offers[0] is the best value for money as Blue Pillow ranks it: price weighed against what is included (breakfast, free cancellation) and the operator's historical reliability, with a small commercial component. It is not necessarily the cheapest — the full per-operator list is always in offers[], and sort=price_asc gives pure price order. Each deeplink_url is a BluePillow tracked-redirect URL (bluepillow.com/…) that records the click and forwards the user to the operator's booking page — pass it verbatim, never reconstruct it or replace it with a raw OTA link.

  • price — mirror of offers[0] for callers that just want the curated headline. null when unavailable (no price for these dates).

Per-night vs total — amount_per_night is per-night; amount on each offer is the total for the requested stay. Phrasings like "€X/night via Booking, breakfast included, €Y total" are unambiguous; bare numbers without a unit ("€192") get misread.

Scarcity signals: low rooms_left values (1-3) are useful cues — "1 room left at €X on Booking" reads naturally. Free cancellation (refundable=true) and breakfast-included are decision factors worth surfacing proactively when present on some offers but not others.

When all results across operators are unavailable, that's the signal to say so explicitly to the user and offer to widen the dates or look at alternatives.

For final booking confirmation, hand the user the corresponding deeplink_url (or the property's web_url) — booking URLs are not reconstructed by hand.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datesYesStay window. Natural-language references such as 'tonight', 'this weekend', 'the weekend of July 4', 'Memorial Day weekend' translate to concrete check_in / check_out at the call site. check_in is a date in the real-time calendar that is today or later — past values are rejected at the API boundary. Clock calibration: this schema was published in August 2026, so today is August 2026 OR LATER; an assumed 'today' in 2024/2025 is a stale training-time clock.
guestsYesGuest composition. Adults is required; children and infants default to zero.
api_keyNoYour anonymous Blue Pillow Hotels & Stays API key (format 'pk_anon_…'). Pass it in THIS field on every call — this is how the tool authenticates. If you don't have a key yet, first check your MCP client configuration, your persistent memory, and earlier in this conversation; otherwise call `b2a_get_key` to get one instantly (do not wait for a 401). Reuse the same key on every subsequent call. It is not a sensitive secret: no account, payment, or personal data is attached.
currencyNoCurrency of the returned prices (ISO-4217, 3-letter uppercase, e.g. 'USD', 'EUR', 'GBP', 'CAD'). SET THIS (or `user_country`) to price in the user's currency — if you set NEITHER, prices default to USD. Prices come straight from the booking sources in this currency; never convert them yourself.
languageNoUser's UI language (2-letter lowercase). Drives the booking link language; falls back to 'en'.
property_idYesOpaque property id (e.g. 'prop_69ce2ddcbf...') OR a bluepillow.com property page URL (e.g. 'https://www.bluepillow.com/search/68d1a2...') — the id is extracted automatically. Use the URL form when the user pasted a bluepillow.com link.
user_countryNoUser's country (ISO-3166 alpha-2 uppercase). Drives the booking-link locale AND, when `currency` is not set, the pricing currency (US->USD, CA->CAD, euro-area->EUR). Pass the user's own country, not the property's home country. Falls back to 'US' when omitted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
nameYes
brandNo
chainNo
priceNo
starsNo
imagesNo
offersNo
ratingYes
web_urlNo
featuresNoStructured feature/facility tags (e.g. HouseFacilities, PropertyTypes). Populated alongside description when the endpoint path is active.
locationYes
amenitiesNo
cluster_idNo
dedup_metaNo
descriptionNoFree-text property description from the canonical source. Only populated when the endpoint path is active (use_bp_single_property_endpoint=True) and dates are present.
ota_coverageYes
rating_countNo
reviews_metaNoProvenance for reviews_sample on property detail: how many review texts were returned vs available, and that the cap is deliberate (token efficiency). null on search or when reviews were not requested.
property_typeYes
thumbnail_urlNo
reviews_sampleNo
reviews_aggregateNorating_count = reviews backing the score (OTA aggregate, e.g. 156). comment_count = readable review TEXTS available (e.g. 53), fetchable via reviews_sample/reviews_extended. They differ: most guests rate, fewer write text — do not conflate them.
availability_statusNoPer the dates passed in the request: available = live bookable quotes in offers (price is the curated best); unavailable = BP reported no rooms for these dates (offers=[], price=null); unknown = no dates considered (no price exists without a dated query).

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only provide readOnlyHint and openWorldHint, but the description adds substantial behavioral context: live date-aware lookup, availability_status semantics (available/unavailable/unknown), offers[0] ranking (best value not cheapest), deeplink_url tracked-redirect must be passed verbatim, currency fallback order (currency > user_country > USD), and per-night vs total pricing. 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.

Conciseness4/5

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

The description is long but well-structured and front-loaded with the core purpose. It uses bold/emphasis for key warnings ('per-night', 'total', 'BluePillow tracked-redirect URL') and organizes content into a logical flow (purpose, usage, response shape, edge cases). Some redundancy with the schema descriptions exists, but for a complex tool with seven parameters and many behavioral nuances, the length is justified.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity and the presence of an output schema, the description goes beyond what's strictly required: it details response shape, offers ranking logic, deeplink handling, scarcity signals, unavailable handling, and instructions for final booking confirmation. It covers edge cases (past dates rejected, USD default, null price when unavailable) and provides all necessary context for correct invocation.

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?

The input schema covers 100% of parameters with rich descriptions. The tool description mostly reiterates schema information (property_id forms, natural-language dates, currency behavior, api_key necessity) rather than adding materially new parameter semantics. The few additions (e.g., 'never convert prices yourself') are marginal, so baseline 3 is appropriate.

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 opens with a specific verb + resource + scope: 'Live availability and per-operator quote for a specific property over a specific stay window.' It clearly distinguishes from sibling get_property_details by contrasting static facts ('what is this property like') with live, date-specific booking data ('can I book it for these dates at what price').

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?

Explicitly states when to use the tool: 'Useful when the user has specific dates in mind for a property they already identified — typically via search_stays or get_property_details.' It also names the complementary sibling get_property_details and explains the division of labor. Required inputs are listed with guidance on natural-language dates and avoiding the USD default.

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

A4.4/5.0
Disambiguation4/5

Tools are mostly distinct: resolve_destination and discover_destinations_near both produce destination IDs but differ in input (name vs coordinates/radius), which the descriptions clarify well. get_property_details and check_property_availability are explicitly differentiated (static 'what is it like' vs live 'can I book for dates'). Minor overlap only between the two destination-resolution tools.

Naming Consistency2/5

Naming is inconsistent. Most tools use verb_object pattern (resolve_destination, search_stays, check_property_availability, get_property_details), but b2a_get_key breaks this entirely with its obscure 'b2a' prefix and mixed capitalization, and discover_destinations_near is inconsistent with the others (verb_plural instead of verb_single). The b2a_get_key name is notably cryptic and doesn't convey its purpose.

Tool Count5/5

Six tools is well-scoped for a hotel search/booker MCP server. Each tool fills a distinct role: key acquisition, destination resolution, area discovery, search/comparison, property details, and availability/pricing. No redundancy and no bloat.

Completeness4/5

The core workflow (resolve → search → compare → get details → check availability → book via link) is well covered. Minor gaps: there's no explicit cancellation/form-fill tool (though booking handoff via deeplink covers this) and no pagination-specific helper beyond cursors. Overall the travel journey is complete for a search-and-compare server.

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