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Dunn Estates Aspen: The Galena Penthouse

Live all-in quote

get_quote
Read-onlyIdempotent

Exact all-in direct quote for specific dates from the live booking engine: itemized rent, any current offer, cleaning, property protection and taxes, with no platform fee. Also reports minimum-stay rules and invalid dates. Returns a prefilled secure checkout link for the guest. A quote is a live rate snapshot, not a hold or reservation.

Input Schema

NameRequiredDescriptionDefault
guestsNoNumber of guests (the penthouse sleeps 2)
checkinYesArrival date, YYYY-MM-DD
checkoutYesDeparture date, YYYY-MM-DD (stays up to 60 nights)

Output Schema

NameRequiredDescriptionDefault
totalNo
guestsNo
nightsNo
noticeYes
checkinYes
messageNo
pageUrlNo
checkoutYes
currencyNo
quotedAtNo
availableYes
breakdownNo
bookingUrlNo
suggestionNo
checkout_noteNo
minimumNightsNo
averagePerNightNo
nearbyOpenWindowsNo
platformServiceFeeNo
typicalPlatformFeeAvoidedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed world), so the description's added value is the semantic contract: a quote is a live rate snapshot with no hold or reservation, invalid dates and minimum-stay violations are reported back, and a prefilled secure checkout link is produced. That is real context beyond the annotations; only the invalid-date/min-stay reporting format is left unstated.

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 core purpose, then the itemization, then the side outputs and the snapshot caveat. Every sentence carries signal; the itemized-taxonomy clause is dense but useful for anticipating the response shape.

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?

With an output schema present, return values need not be documented, yet the description still previews the itemization and checkout link. The residual gap is the relationship to check_availability and suggest_dates for prerequisite or fallback flows, which would complete the picture for a multi-tool booking sequence.

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%, and the schema already documents checkin/checkout formats and the 60-night cap and guests bounds, so the description is not required to compensate. It reinforces 'for specific dates' but adds no syntax or constraint detail beyond what the schema provides, so baseline 3 applies.

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 (get quote for a property, live all-in) and enumerates the exact composition of the quote: rent, offer, cleaning, property protection, taxes, no platform fee. It also names the side outputs (min-stay rules, invalid dates, prefilled checkout link), which lets an agent distinguish it from check_availability, suggest_dates, and compare_to_alternatives without opening any schema.

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

Usage Guidelines3/5

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

The scope 'for specific dates from the live booking engine' implies this is the pricing tool once dates are known, and the final sentence clarifies it is a snapshot, not a hold. But no sibling is named and there is no explicit condition such as 'use check_availability first, or suggest_dates if the dates are invalid.' The guidance is implied rather than stated.

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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