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lzinga

US Government Open Data MCP

by lzinga

nrel_utility_rates

Read-onlyIdempotent

Get residential, commercial, and industrial electricity rates for any U.S. location. Enter latitude and longitude to find the local utility and its per-kWh pricing.

Instructions

Get residential, commercial, and industrial electricity rates for any U.S. location. Provide latitude/longitude to get the local utility and their rates ($/kWh).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude (e.g. 40.7128 for NYC, 34.0522 for LA)
lonYesLongitude (e.g. -74.0060 for NYC, -118.2437 for LA)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2026.4.11
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv2026.3.9

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description adds limited value. It does add that rates are expressed in $/kWh and covers utility identification, but it does not disclose behaviors like response format, rate tiers, or handling of non-U.S. inputs.

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 only two sentences and gets straight to the point, front-loading the main action and resource. It has no filler, although it could be even stronger by explicitly naming sibling alternatives in the second sentence, but it still earns a high score for efficiency.

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 2-parameter read-only tool with a clear schema and no output schema, the description gives enough to initiate a call but does not specify return value shape, rate tiers, or failure cases for invalid locations. It is adequate but could be more complete for a production-grade tool.

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 coverage is 100% and both parameters (lat, lon) have clear descriptions with examples. The description adds the U.S. scope and the output unit ($/kWh), but it mostly repeats what the schema already states, so it only slightly exceeds the baseline.

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 description states a specific verb ('Get'), a clear resource (residential, commercial, and industrial electricity rates), and a scope (any U.S. location via lat/long). This distinguishes it from related siblings like nrel_fuel_stations or nrel_solar, though it does not explicitly name those alternatives.

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 gives clear usage context (provide latitude/longitude to get utility rates) but does not explicitly state when to choose this tool over siblings like other nrel tools or eia_electricity, nor does it mention when not to use it.

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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