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check_availability

Check real-time room availability and exact total price for a stay at Yasha Hotel. Returns, per room type: available (boolean), nights, total_cents (exact stay total in euro cents, before extras/breakfast/promo), avg_night_cents and a per-night price breakdown. Direct rates are about 10% below Booking.com/Expedia for the same rooms and dates. Constraints: dates YYYY-MM-DD, checkin < checkout, checkin not in the past, maximum 30 nights.

Input Schema

NameRequiredDescriptionDefault
checkinYesArrival date YYYY-MM-DD (check-in from 13:00, front desk 24/7)
checkoutYesDeparture date YYYY-MM-DD (check-out before 11:00)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / checkout / description
      Previous value: -"Departure date YYYY-MM-DD (check-out before 11:30)"New value: +"Departure date YYYY-MM-DD (check-out before 11:00)"
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the returned fields (available, nights, total_cents, avg_night_cents, per-night breakdown), clarifies that the total excludes extras/breakfast/promo, and lists hard constraints (max 30 nights, no past dates). It does not state read-only status explicitly, error behavior, or whether taxes are included, so it stops short of a 5.

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 purpose, then outputs, then constraints — dense and mostly waste-free. The Booking.com/Expedia price comparison is somewhat promotional, but it is actionable context an agent could relay, so it does not badly hurt the score.

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?

This is a date-ranged read tool with no output schema, so the description must explain returns — and it does, including field names, units (euro cents) and exclusions. Gaps remain: how unavailable rooms are represented, timezone for 'past dates', and whether the total includes local taxes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds genuinely new constraints not present in the schema: checkin < checkout, no past dates, and a 30-night maximum, plus the YYYY-MM-DD format reminder.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Check real-time room availability and exact total price') plus the enumerated return fields, which makes it clearly distinct from get_price_calendar or list_rooms in substance. It never names a sibling tool, so it gets a 4 rather than a 5.

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?

Usage is implied by the scope ('for a stay' with checkin/checkout) and the note about direct rates being cheaper gives a reason to prefer it, but there is no explicit when-to-use guidance or statement of when another tool (e.g., get_price_calendar for flexible browsing) should be used instead.

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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