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list_rooms

List every bookable room type at Yasha Hotel with id, name, description, guest capacity, bed type, size in m2, amenities and photo URLs. Use the returned room ids for check_availability and create_booking.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are supplied, so the description carries the burden, and it does disclose the operation is a read-only enumeration and lists the exact fields returned. It does not mention pagination, list size, or whether results are static, which are minor gaps for a zero-parameter read.

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

Conciseness5/5

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

Two tight sentences: the first front-loads the operation and result shape, the second carries the only actionable downstream guidance. Nothing is wasted.

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 no output schema, the description usefully enumerates the return payload, and with no params or annotations there is little else an agent needs. Only the absence of any note on result size/ordering keeps it from being fully complete.

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?

The tool takes no parameters, so there is nothing to disambiguate; baseline 4 applies. The description's field enumeration describes output semantics rather than input, and no param guidance is needed.

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 ('List') and resource ('bookable room type at Yasha Hotel') and enumerates the returned fields, so an agent knows exactly what it gets. It also implicitly differentiates from siblings by positioning itself as the source of room ids consumed by check_availability and create_booking.

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

Usage Guidelines4/5

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

Provides forward guidance that the returned room ids feed check_availability and create_booking, which tells the agent when this tool belongs in a workflow. It lacks an explicit 'call this first / do not use for pricing' exclusion, but the dependency chain is clear.

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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