Skip to main content
Glama
lzinga

US Government Open Data MCP

eia_natural_gas

Read-only

Retrieve natural gas prices for Henry Hub spot, citygate, residential, commercial, industrial, and electric power sectors. Filter by price type, frequency, and date range.

Instructions

Get natural gas prices — Henry Hub spot price, citygate, residential, commercial, industrial, electric power.

Process codes: PRS (citygate), PRP (electric power), PRC (commercial), PRI (industrial), PRR (residential), PNG (Henry Hub spot)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
processNoPrice type: 'PRS' (citygate), 'PRP' (electric power), 'PRC' (commercial), 'PRI' (industrial), 'PRR' (residential). Default shows all.
frequencyNoFrequency (default: monthly)
startNoStart date (YYYY-MM). Default: 2 years ago
endNoEnd date (YYYY-MM). Default: latest available
lengthNoMax rows (API max: 5000). Omit to let date range control volume.
offsetNoRow offset for pagination
Behavior4/5

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

Annotations already provide readOnlyHint: true. The description adds context about price types and frequency, which is consistent. No disruptive behavior is expected, and pagination details are in the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences. The first states the purpose and scope, the second explains process codes. No wasted words, information is front-loaded.

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?

The description covers the tool's purpose, key parameters, and data types. Given the simple query nature, no output schema is needed. Siblings clearly differentiate by energy type.

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?

With 100% schema coverage, baseline is 3. The description adds meaning by explaining what each process code stands for (e.g., 'PRS' = citygate), which is helpful beyond the schema's listing.

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 clearly states 'Get natural gas prices' and lists specific price types (Henry Hub spot, citygate, residential, etc.). It distinguishes from siblings like eia_electricity and eia_petroleum by focusing on natural gas.

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?

The description explains process codes for different price types, guiding which parameter to use. It doesn't explicitly mention when not to use or alternatives, but the tool name and context make usage clear.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lzinga/us-gov-open-data-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server