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MCP-Dubai

MCP-Dubai

by mahdi-salmanzade
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

list_uae_weather_cities

Read-onlyIdempotent

List UAE cities supported by Open-Meteo weather tools to find locations with available weather data.

Instructions

List the UAE cities supported by the Open-Meteo weather tools.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_uae_weather_cities"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds that the list is scoped to cities the Open-Meteo weather tools actually support, which is genuinely useful context, but says nothing about list size or ordering.

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?

A single sentence that front-loads the action and the scope, with no filler or redundant restatement of the name.

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?

An output schema exists, so return values need no explanation, and a zero-param enumeration tool is inherently simple. The only missing piece is an explicit pointer that the returned city names are the valid inputs to the weather siblings.

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 zero parameters, so there is nothing for the description to disambiguate; baseline 4 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?

Specific verb (List) plus a specific resource (UAE cities supported by the Open-Meteo weather tools). An agent immediately knows this is an enumeration tool for the weather family, though it doesn't explicitly name the sibling tools (uae_weather, weather_by_coords) whose inputs it feeds.

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 only implied: an agent must infer that this should be called to discover valid city names before invoking a weather tool. There is no explicit when-to-use statement or contrast with siblings such as weather_uae_all.

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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