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list_areas

List all Dubai areas (neighborhoods) available in the dataset. Use to discover valid area names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description must convey behavior. It says 'List all...available,' implying a safe read operation, but omits details like response format or pagination. Adequate but minimal.

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 wasted words. The action ('List all Dubai areas') is front-loaded, and the usage hint is concise.

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?

For a parameterless listing tool with no output schema, the description sufficiently covers purpose and usage. It could mention the output is area names, but the dataset context implies it.

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 input schema has zero parameters with 100% coverage. The description adds value by explaining the tool's purpose (discovering valid area names) beyond the schema.

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 clearly states 'List all Dubai areas (neighborhoods) available in the dataset,' using a specific verb and resource. It inherently distinguishes from sibling tools that focus on metrics like affordability or yield.

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?

States 'Use to discover valid area names,' providing a clear intended use case for seeding other area-specific tools. However, it does not explicitly exclude alternatives or mention when not to use.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: listing areas, getting area snapshot, comparing areas, market overview, affordability calculation, yield ranking, and rental yield. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern of lowercase snake_case with verbs like 'list', 'compare', 'rank', 'get' (implied in area_snapshot). Very predictable.

Tool Count5/5

Seven tools are well-scoped for a Dubai real estate data server. Each tool adds distinct value without redundancy, fitting the ideal range of 3-15.

Completeness5/5

The set covers essential operations: listing areas, detailed snapshots, comparisons, market overview, affordability filtering, and yield analysis. No obvious gaps for the domain.

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