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ogSINGH

OpenStreetMap MCP Server v2

by ogSINGH

explore_area

Generate a comprehensive profile of any neighborhood by identifying and categorizing all amenities, features, and points of interest for area research and comparison.

Instructions

Generate a comprehensive profile of an area including all amenities and features.

This powerful analysis tool creates a detailed overview of a neighborhood or area by identifying and categorizing all geographic features, amenities, and points of interest. Results are organized by category for easy analysis. Excellent for neighborhood research, area comparisons, and location-based decision making.

Args: latitude: Center point latitude (decimal degrees) longitude: Center point longitude (decimal degrees) radius: Search radius in meters (defaults to 500m)

Returns: In-depth area profile including: - Address and location context - Total feature count - Features organized by category and subcategory - Each feature includes name, coordinates, and detailed metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
radiusNo
latitudeYes
longitudeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It never states that the operation is read-only, whether it incurs cost or rate limits, how large a radius is safe, or how long the analysis takes; instead it relies on marketing language ('This powerful analysis tool') rather than disclosing behavior.

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

Conciseness3/5

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

Front-loaded with the purpose, then a clean Args/Returns structure, but the middle paragraph is padded with promotional filler ('powerful analysis tool', 'Excellent for...') that repeats the opening instead of earning its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, yet the description restates the return contents at length (categories, counts, per-feature metadata), which is redundant. It is adequate for invocation but omits sibling differentiation and any behavioral context an agent would want before calling.

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%, so the description must compensate, and it largely does: it documents latitude/longitude as decimal-degree center points and radius as a meters value defaulting to 500. Only minor gaps remain, such as valid ranges or a radius cap.

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?

States a clear verb+resource: generates a comprehensive profile of an area, covering amenities and features organized by category. It is specific about the output shape but never distinguishes itself from close siblings like find_nearby_places, analyze_neighborhood, or search_category.

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?

Offers implied usage contexts ('neighborhood research, area comparisons, and location-based decision making') but gives no explicit when-to-use conditions, no prerequisites, and no routing to or away from any of the eleven sibling tools.

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