Skip to main content
Glama

commodity-futures

Get live prices and intraday metrics for major commodity futures including crude oil, gold, and wheat. Filter by commodity or category: energy, metals, agricultural.

Instructions

Returns live price and intraday metrics for major commodity futures: crude oil, natural gas, gold, silver, copper, platinum, wheat, corn, soybeans, and coffee. Includes price, day high/low, 52-week range, previous close, exchange, and contract name. Filter by commodity name or category (energy/metals/agricultural). $0.010/call — Yahoo Finance free API, no key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commoditiesNoSpecific commodities to fetch. One or more of: crude_oil, natural_gas, gold, silver, copper, platinum, wheat, corn, soybeans, coffee. Omit to get all commodities (limited by category if provided).
categoryNoFilter by category: energy (crude_oil, natural_gas), metals (gold, silver, copper, platinum), agricultural (wheat, corn, soybeans, coffee), or all. Default: all. Ignored if commodities list is provided.
Behavior4/5

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

No annotations exist, so the description fully covers behavior: it's a read-only live price tool, lists included metrics, and mentions pricing and API source. Could add update frequency but overall good.

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?

Three sentences with no fluff: purpose, included metrics, filtering options, and pricing. Front-loaded with key info.

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?

No output schema, but description lists return fields (price, day high/low, 52-week range, etc.). Parameters are well-explained. Complete for a simple data retrieval tool.

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 coverage is 100%, so baseline 3. Description adds value by explaining the interaction between 'commodities' and 'category' (e.g., ignoring category if commodities list provided).

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 explicitly states the verb ('Returns'), resource ('live price and intraday metrics for major commodity futures'), and lists specific commodities. It distinguishes from sibling financial tools by focusing on commodity futures.

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?

Clear filtering options (by commodity name or category) and pricing information are provided. It does not explicitly compare to alternatives, but the context is sufficiently 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/thebrierfox/the-stall'

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