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ogSINGH

OpenStreetMap MCP Server v2

by ogSINGH

reverse_geocode

Convert geographic coordinates into detailed addresses, landmarks, and administrative boundaries for human-readable location lookup.

Instructions

Convert geographic coordinates to a detailed address and location description.

This tool takes a specific point on Earth (latitude and longitude) and returns comprehensive information about that location, including its address, nearby landmarks, administrative boundaries, and other contextual information. Useful for translating GPS coordinates into human-readable locations.

Args: latitude: The latitude coordinate (decimal degrees, WGS84) longitude: The longitude coordinate (decimal degrees, WGS84)

Returns: Detailed address and location information including: - Formatted address - Building, street, city, state, country - Administrative hierarchy - OSM metadata - Postal code and other relevant identifiers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYes
longitudeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior3/5

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 does convey that the operation is a non-mutating lookup and describes the shape of the returned location data, but it omits permission requirements, rate limits, and what happens for out-of-range or ocean coordinates.

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 front-loaded with the one-line purpose, then structured into Args and Returns sections. The Returns block partially duplicates the earlier 'including its address, nearby landmarks, administrative boundaries' sentence, and is redundant given an output schema exists, but the overall structure is clean.

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?

For a simple two-parameter read-only tool with an output schema, the description is largely sufficient. Gaps remain: no error/edge-case behavior, no guidance on result precision or coverage limits, and no routing among the eleven sibling geo tools.

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 schema contributes only types. The description compensates by specifying the expected format ('decimal degrees') and the coordinate system ('WGS84'), which is meaningful semantics an agent could not infer. It stops short of stating valid ranges or hemisphere conventions.

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 opening sentence states a precise verb and resource ('Convert geographic coordinates to a detailed address'), and the direction of conversion implicitly separates it from the sibling geocode_address. However, it never names that inverse sibling, so the differentiation is left to inference.

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 via 'Useful for translating GPS coordinates into human-readable locations.' There is no explicit statement of when to prefer this over geocode_address or find_nearby_places, and no mention of prerequisites such as coordinate validity or coverage.

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