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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safe-read profile is covered. The description's useful addition is the shape of the returned payload (current, prior week, change), which matters because there is no output schema. It does not mention data units, reporting lag, caching, or the upstream EIA source, which are the remaining behavioral unknowns.

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?

A single sentence that front-loads the source, cadence, and subject, then states the comparison content. Nothing is redundant or padded.

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?

For a one-parameter read tool with annotations covering safety, most of what an agent needs is present, and the description partially compensates for the absent output schema by describing the three returned values. It still omits units, whether the 'change' is absolute or percentage, and how stale the latest week can be, which are the details an agent would need to interpret the numbers.

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?

Schema coverage is 100% and the single 'series' parameter already enumerates its five allowed values with a default of crude_stocks. The description adds no meaning about what the series parameter selects. Baseline 3 is correct when the schema fully carries parameter documentation.

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 names a specific resource (EIA weekly US petroleum inventory) and states exactly what the response contains: the latest figure, the previous week, and the change. It reads clearly against the sibling set, none of which touch petroleum data. It stops short of a crisp verb ('retrieves'), but the resource and payload are unambiguous.

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?

There is no explicit when-to-use or when-not-to-use guidance and no named alternative. The weekly cadence is implied by the name and description, but nothing tells the agent under what conditions this tool is the right choice versus any other data tool. Usage is inferable only from the tool being a single-purpose data fetcher.

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