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analyze_neighborhood

Analyze a neighborhood's livability by scoring amenities, transit, green spaces, and services to inform real estate and relocation decisions.

Instructions

Generate a comprehensive neighborhood analysis focused on livability factors.

This advanced analysis tool evaluates a neighborhood based on multiple livability factors, including amenities, transportation options, green spaces, and services. Results include counts and proximity scores for various categories, helping to assess the overall quality and convenience of a residential area. Invaluable for real estate decisions, relocation planning, and neighborhood comparisons.

Args: latitude: Center point latitude (decimal degrees) longitude: Center point longitude (decimal degrees) radius: Analysis radius in meters (defaults to 1000m/1km)

Returns: Comprehensive neighborhood profile including: - Overall neighborhood score - Walkability assessment - Public transportation access - Nearby amenities (shops, restaurants, services) - Green spaces and recreation - Education and healthcare facilities - Detailed counts and distance metrics for each category

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
radiusNo
latitudeYes
longitudeYes
Behavior4/5

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

With no annotations provided, the description carries the transparency burden and does a good job: it explains the tool evaluates multiple livability factors, returns counts and proximity scores, and lists expected output contents. It implies a safe read-only analysis, though it does not explicitly state 'no side effects'.

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

Conciseness4/5

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

The description is well-structured with intro, Args, and Returns sections. It front-loads the main purpose and each part contributes useful information, although the 'Invaluable for...' sentence is slightly promotional but still adds use-case context.

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?

Given there is no output schema, the description provides a comprehensive list of return categories and metrics. It covers purpose, parameters, and outputs adequately for a read-only analysis tool, but could mention data source limitations or error handling.

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?

Schema description coverage is 0%, but the description compensates by defining all three parameters in the Args section: latitude/longitude as center point in decimal degrees and radius in meters with a default. This adds meaningful context beyond the raw schema.

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?

The description states a specific action ('Generate a comprehensive neighborhood analysis') and resource ('focused on livability factors'), listing key evaluation categories. It distinguishes itself from siblings by emphasizing a multi-factor livability scoring approach, though explore_area may have some overlap.

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?

It mentions clear use cases ('real estate decisions, relocation planning, and neighborhood comparisons'), but does not explicitly contrast with sibling tools such as explore_area or find_nearby_places. Usage context is implied rather than explicitly differentiated.

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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