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Travel Plugshare

travel_plugshare
Read-only

EV charging stations near a point. Primary source OpenStreetMap (Overpass): name, operator, network, socket types, capacity, access, hours. For US points when Overpass is unavailable, the US DOE/NREL Alternative Fuel Stations directory is used instead. PlugShare itself has no public API, so its reviews and live status are not included. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
latYesLatitude -90 to 90
lonYesLongitude -180 to 180
limitNoMax stations, 1 to 50 (default 10)
radiusNoSearch radius in metres, 100 to 10000 (default 2000)

Output Schema

NameRequiredDescriptionDefault
countNo
sourceNo
stationsNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Goes well past the readOnlyHint/openWorldHint annotations: it discloses the upstream data sources and their fallback chain, the known coverage gap (no reviews, no live status), and precise billing semantics ($0.002 USDC per successful call; failed calls not charged) including accepted payment chains. An agent knows cost, failure cost, and data freshness limits before calling.

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?

Four tight sentences, front-loaded with what it returns, then source fallback, then known limitation, then price. Every sentence carries information an agent needs; only the PlugShare-API aside is slightly more narrative than operational, and the price clause is dense but justified.

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

Completeness5/5

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 still usefully previews the returned fields, and it covers the three things an agent can't infer from structure: source fallback, coverage limitations, and paid-invocation semantics. Nothing needed to call this correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with ranges and defaults documented for lat, lon, limit and radius, so the schema carries parameter meaning entirely. The description adds no parameter-level detail (e.g., radius/limit interaction or coordinate format), so the baseline 3 applies.

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?

"EV charging stations near a point" is a specific resource + scope, and the description enumerates exactly what is returned (name, operator, network, socket types, capacity, access, hours). It also pre-empts confusion with the namesake service by stating PlugShare's reviews and live status are excluded. It stops short of naming the closest siblings (travel_ev_database, travel_data_wa_gov_electric_vehicle) to route agents between them.

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 implied by the geography-based framing, and the description adds a useful conditional rule (US points fall back to NREL when Overpass is unavailable). However, it never states when an agent should pick this over sibling EV/vehicle tools, nor any prerequisites for the x402 payment beyond the price itself.

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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