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Gondola AI

Gondola AI

by gondola-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript

get_hotel_reviews

Read-only

Retrieve recent guest reviews and ratings for a hotel, helping users understand others' experiences before booking.

Instructions

Get guest reviews for a specific hotel.

Use this to help users understand what other guests thought about a hotel.
Returns up to 10 recent reviews with ratings and comments.

Args:
    hotel_id: The hotel's Vervotech property ID (from search results).

Returns:
    Formatted list of guest reviews with author names, ratings, and review text.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "hotel_id": "<hotel_id>"
    },
    "name": "get_hotel_reviews"
  }
}

Input Schema

NameRequiredDescriptionDefault
hotel_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds behavioral detail: returns up to 10 recent reviews with ratings and comments, no contradictions.

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 concise sentences plus structured Args/Returns section. No redundant information; every sentence adds value.

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 single param, clear output description (formatted list with author, rating, text, limit 10), and output schema exists, the description is fully complete for agent invocation.

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?

Single parameter hotel_id explained as 'The hotel's Vervotech property ID (from search results),' adding source context beyond schema type/title. Schema coverage 0% but description compensates well.

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?

Clearly states 'Get guest reviews for a specific hotel' using a specific verb and resource. Distinguishes from siblings as no other review tools exist.

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 explicit usage context: 'Use this to help users understand what other guests thought about a hotel.' Lacks exclusion criteria but appropriate given no alternative review siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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