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

No annotations are provided, so the description must disclose behavioral traits. It does not mention read-only nature, authentication requirements, rate limits, or any side effects. The only behavioral clue is the license note, which is insufficient for full transparency.

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

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

The description is three sentences: purpose, curated routes, license. It is front-loaded and contains no redundant or irrelevant information. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description adequately covers the tool's function and parameter context, but since there is no output schema, it would benefit from explaining the return format (e.g., time-series structure). For a 4-parameter tool with 100% schema coverage, this is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers all parameters (100%), but the description adds value by grouping routes into meaningful categories (e.g., 'petroleum/pri/spt (WTI/Brent crude spot prices)') and noting the data license. This enriches understanding beyond the minimal schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves US Energy Information Administration time-series data, and lists specific curated routes (e.g., petroleum/pri/spt, electricity/retail-sales), making the purpose highly specific and distinct 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.

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

The description provides context on the intended use case (US energy data) and lists curated routes, but does not explicitly state when to use this tool over alternatives or when not to use it. Usage is implied through the domain specificity.

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