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ogSINGH

OpenStreetMap MCP Server v2

by ogSINGH

find_ev_charging_stations

Locate EV charging stations near any coordinates. Filter results by connector type and minimum power to plan trips or find charging stops.

Instructions

Locate electric vehicle charging stations near a specific location.

This specialized search tool identifies EV charging infrastructure within a specified distance from a location. Results can be filtered by connector type (Tesla, CCS, CHAdeMO, etc.) and minimum power delivery. Essential for EV owners planning trips or evaluating potential charging stops.

Args: latitude: Center point latitude (decimal degrees) longitude: Center point longitude (decimal degrees) radius: Search radius in meters (defaults to 5000m/5km) connector_types: Optional list of specific connector types to filter by (e.g., ["type2", "ccs", "tesla"]) min_power: Minimum charging power in kW

Returns: List of charging stations with: - Location name and operator - Available connector types - Charging speeds - Number of charging points - Access restrictions - Other relevant metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
radiusNo
latitudeYes
longitudeYes
min_powerNo
connector_typesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4.1/5.0
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 burden. It discloses the nature of the search and enumerates returned fields (operator, connectors, speeds, points, access restrictions), but says nothing about read-only safety, pagination/limits, or error behavior beyond what the output schema already conveys.

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?

Front-loaded with the purpose and structured into Args/Returns, so it is easy to scan. The sentence 'Essential for EV owners planning trips...' is mild marketing filler that doesn't add actionable information.

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?

With no annotations, an output schema present, and five parameters at 0% schema coverage, the description compensates well by documenting every parameter and the purpose. It is slightly incomplete on read-only expectations and routing versus generic nearby-search 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?

Schema description coverage is 0%, so the description must carry param meaning, and it documents all five: lat/long as center point in decimal degrees, radius default of 5000m, connector_types with concrete examples, and min_power in kW. Connector examples are illustrative ('etc.') rather than exhaustive, leaving some ambiguity.

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?

States a specific verb (Locate) and resource (EV charging stations) with scope ('near a specific location'), and marks itself as a 'specialized search tool' that distinguishes it from the generic find_nearby_places/search_category siblings without opening their schemas.

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?

Gives clear usage context ('planning trips or evaluating potential charging stops') and the filtering intent, but names no alternatives and provides no exclusions or conditions for choosing this over find_nearby_places or search_category.

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