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lzinga

US Government Open Data MCP

by lzinga

nrel_fuel_stations

Read-onlyIdempotent

Find US EV charging and alternative fuel stations by state, ZIP, or fuel type. Filter results by radius and station status to locate open stations near you.

Instructions

Search for EV charging stations, hydrogen stations, biodiesel, CNG, and other alternative fuel stations. Covers all U.S. alt fuel infrastructure. Filter by state, zip, fuel type, radius.

Fuel types: 'ELEC' (EV), 'HY' (hydrogen), 'CNG' (natural gas), 'LPG' (propane), 'BD' (biodiesel), 'E85' (ethanol)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipNoZIP code to search near
limitNoMax results (default 20)
stateNoTwo-letter state code: 'CA', 'TX', 'NY'
radiusNoSearch radius in miles from zip (default 25)
statusNoStation status: 'E' (Open (available)), 'P' (Planned (not yet open)), 'T' (Temporarily unavailable)
fuel_typeNoFuel type: 'ELEC' (Electric), 'E85' (Ethanol (E85)), 'CNG' (Compressed Natural Gas), 'LPG' (Propane (LPG)), 'BD' (Biodiesel (B20 and above)), 'HY' (Hydrogen), 'LNG' (Liquefied Natural Gas), 'RD' (Renewable Diesel)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2026.9.14
    • addedInput schema / properties / limit / default
      Added value: +20
  2. Changed1 schema field changedv2026.4.11
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observedv2026.3.9

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, so the safety profile is fully covered. The description adds scope context ('Covers all U.S. alt fuel infrastructure') but no additional behavioral traits such as rate limits, data freshness, or response shape. No contradiction with annotations.

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 concise and front-loaded with the action and resource. The second sentence gives useful filter keywords. The fuel-type list is somewhat redundant with the schema and incomplete, but it remains a quick-reference aid rather than a major source of bloat.

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?

For a simple read-only search tool with fully documented parameters and strong annotations, the description is largely complete. The only notable omission is that there is no output schema and the description does not describe the response format, though this is not critical for basic invocation. Overall, the agent has enough to call and filter correctly.

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%, so all six parameters are already documented with types, enums, and descriptions. The description's fuel-type list partially duplicates the schema enum but omits LNG and RD; it adds no meaningful syntax or format details beyond the schema. Baseline 3 applies because the schema does the heavy lifting.

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?

The description states a specific verb ('Search'), a concrete resource ('alternative fuel stations'), and a clear scope ('Covers all U.S. alt fuel infrastructure'). It also lists the fuel types covered, making it easy to distinguish from the sibling NREL tools (nrel_utility_rates, nrel_solar) and all other data sources.

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?

The description implies when to use the tool ('Search for... alternative fuel stations') but provides no explicit guidance about when to prefer it over alternatives or when not to use it. No sibling alternatives are named, leaving the agent to infer based on tool names and semantics.

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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