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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and non-destructive behavior, so the description does not need to restate those. It adds useful scope information ('any EIA series ID' and 'returns time-series data') but does not disclose response structure, pagination, or error behavior — acceptable given the annotations, but not rich.

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 compact sentences, front-loaded with the core purpose, followed by useful examples and a final routing note. Every sentence earns its place with no redundancy.

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 simple one-required-parameter lookup with a fully described schema and strong safety annotations, this is nearly complete. The main gaps are the absence of an explicit return-value shape and not naming specialized sibling tools to reduce mis-selection risk.

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 four parameters at 100%, so the baseline is 3. The description adds practical meaning for series_id by mapping example IDs to real-world commodities and prices, which helps an agent construct valid calls. It adds little beyond the schema for start, end, and limit.

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 identifies a specific operation ('EIA series lookup'), names the resource, and gives concrete example series IDs. It establishes itself as a general-purpose fallback relative to specialized EIA siblings, though it does not explicitly name those siblings.

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?

'Use this when no other tool covers your specific need' provides an explicit selection heuristic and communicates that this is a fallback tool. However, it does not enumerate which specialized alternatives should be preferred or list specific exclusions.

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