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Corissia Resorts Crete

Hotel facts

get_hotel_facts
Read-onlyIdempotent

Facts about one hotel and its rooms: identity, operation, policies (ages, pets, check-in), location, pools, dining, services, accessibility, terms, rooms. A fact with the answer "unknown, ask the hotel" is not confirmed by the hotel. API v3.

Input Schema

NameRequiredDescriptionDefault
langNoLanguage of names, texts and links: de or en (default en).
hotelYesHotel id: hiltonchania, flair, harmony, princess or beach.
categoryNoOnly one category of facts.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and open-world, so the safety profile is covered. The one genuinely additive sentence is the note that a fact answering "unknown, ask the hotel" is not confirmed by the hotel — valuable interpretation guidance for the returned data. Beyond that, nothing is said about response shape or granularity, and there is no output schema to compensate.

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 and dense — the resource and its fact domains arrive in one sentence. The trailing "API v3." is vestigial metadata that earns no place in an agent-facing description.

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

Completeness3/5

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

For a read-only lookup with three enum params and no output schema, the description covers what kinds of facts exist but not how they are returned (flat key/value list? grouped by category? one record per room?), which matters given the 'room' category. The unconfirmed-fact note helps but the return shape remains unspecified.

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 all three parameters are enum-documented, so the schema fully carries parameter meaning. The description adds no parameter-level guidance, such as the defaulting behavior of lang or the effect of omitting category. Baseline 3 applies.

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?

Names a specific resource (one hotel and its rooms) and enumerates the fact domains covered: identity, operation, policies, location, pools, dining, services, accessibility, terms, rooms. That enumeration maps directly onto the category enum, making the tool's scope unambiguous. It does not explicitly distinguish itself from get_room_details or compare_hotels, so it falls short of 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?

The description implies usage (fetch facts for a single hotel, optionally one category) but never states when to choose it over siblings like get_room_details, compare_hotels, or get_venue, which overlap on hotel/room data. No exclusions or prerequisites are given.

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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