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energy_markets

Get US energy market data: WTI, Brent, Henry Hub, gasoline, heating oil, jet fuel, diesel, propane prices, plus crude inventory, rig count, and basin production.

Instructions

US energy market intelligence: WTI, Brent, Henry Hub, gasoline, heating oil, jet fuel, diesel, propane prices + crude inventory + rig count + basin production.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description only lists data categories and does not disclose behavioral traits such as read-only nature, update frequency, or any limitations. Since annotations are absent, the description carries the full burden but provides minimal transparency.

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 (one sentence) and front-loaded with the key concept 'US energy market intelligence'. However, the list format is somewhat run-on and could be improved with better structure.

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?

The description covers the main data areas but lacks context on output format, update frequency, or geographic scope beyond 'US'. An output schema exists, so return values are partly covered, but more completion would be helpful.

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?

There are zero parameters, so the baseline is 4. The description adds value by enumerating the types of data returned, which goes beyond the empty schema.

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 lists specific energy market data points (WTI, Brent, Henry Hub, etc.), making the tool's purpose clear. However, it lacks an explicit action verb and does not distinguish itself from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description does not mention any context, exclusions, or prerequisites.

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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