Skip to main content
Glama

Roomza Hotel Intelligence

by io.github.roomza-inc

Get nearby places and events

get_nearby
Read-onlyIdempotent

Get nearby places (restaurants, bars, attractions, parks) and upcoming events near a hotel. Optionally filter events to a travel window with start_date / end_date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoTravel end date YYYY-MM-DD -- filters events to this window
hotel_idYesHotel UUID from search_hotels/get_hotel (the URL slug also works)
start_dateNoTravel start date YYYY-MM-DD -- filters events to this window

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
foundYes
eventsYes
placesYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedInput schema / properties / hotel_id / description
      Previous value: -"Hotel UUID (get this from search_hotels or get_hotel)"New value: +"Hotel UUID from search_hotels/get_hotel (the URL slug also works)"
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": false,
+  "properties": {
+    "events": {
+      "items": {
+        "additionalProperties": false,
+        "properties": {
+          "date": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "ticketLink": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "title": {
+            "type": "string"
+          },
+          "venueName": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "when": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          }
+        },
+        "required": [
+          "title",
+          "date",
+          "when",
+          "venueName",
+          "ticketLink"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "found": {
+      "type": "boolean"
+    },
+    "places": {
+      "items": {
+        "additionalProperties": false,
+        "properties": {
+          "address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "category": {
+            "type": "string"
+          },
+          "name": {
+            "type": "string"
+          },
+          "priceLevel": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "rating": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          }
+        },
+        "required": [
+          "name",
+          "category",
+          "rating",
+          "priceLevel",
+          "address"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "required": [
+    "found",
+    "places",
+    "events"
+  ],
+  "type": "object"
+}
  3. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the useful behavioral detail that date filtering applies only to events, but otherwise does not disclose additional runtime behavior beyond the annotations.

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 sentences with no filler. The primary purpose is front-loaded, the optional date-filtering behavior is stated succinctly, and every phrase earns its place.

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?

For a simple, read-only lookup tool with a full output schema, complete parameter documentation, and readOnly/idempotent annotations, the description covers everything an agent needs to invoke it correctly. It even clarifies that the optional date window applies only to events.

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%, so the schema fully documents hotel_id, start_date, and end_date. The description adds a brief restatement that dates filter events to a travel window, which is helpful but not necessary given the schema already explains each parameter.

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?

The description states a specific verb ('Get'), a clear resource ('nearby places and upcoming events near a hotel'), and enumerates the place categories. It is immediately distinguishable from sibling tools like get_hotel or search_hotels.

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?

The description clearly signals this tool is for place/event discovery around a hotel and mentions optional date filtering, providing clear context for when to use it. It does not explicitly name alternatives or exclusion conditions, so it stops short of a 5.

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

All Roomza Hotel Intelligence toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: searching, retrieving details, pricing, rooms, reviews, nearby places, user-specific actions (preferences, trips), booking, and presentation. The overlap between get_hotel and ask_about_hotel is intentional and clearly differentiated (ask is for supplementary questions), and get_hotel_rooms vs show_rooms are also distinct (list vs present).

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: get_hotel, get_hotel_pricing, get_hotel_rooms, get_my_preferences, get_my_trips, get_nearby, get_recent_reviews, search_hotels, secure_room, show_rooms, add_special_request, ask_about_hotel. The only minor variation is 'ask_about_hotel' but it's still verb-based and follows the same structure.

Tool Count5/5

Twelve tools is well within the optimal range for a domain of this scope. The toolset covers the core lifecycle (search, view, price, book, add request, view trips) plus supporting functions (reviews, nearby, user preferences, presentation). No redundant or superfluous tools exist.

Completeness4/5

The toolset covers the primary hotel intelligence and booking workflow thoroughly: search, detail, pricing, rooms, booking, special requests, and user data. Slight gap: no explicit cancellation or booking modification tool, but given the server's focus on intelligence and presentation, this is a minor omission that agents can work around.

Resources