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

With no annotations, the description must carry the full behavioral burden. It usefully discloses data provenance ('observed US independent listing ranges'), which tells the agent these are market observations, not quotes. However, it says nothing about result size, pagination, ordering, or freshness beyond the 'autumn 2026' label.

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?

Three short sentences with no filler; the resource and scope come first, followed by the data-semantics clarification and the optional filter. Every clause carries information.

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 single-optional-param read tool with no annotations and no output schema, the description covers scope, provenance, and exclusions well. It stops short of describing the shape of returned records, which the absent output schema leaves entirely unspecified.

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 description coverage is 100% and the enum is fully enumerated in the schema, so the description's restatement of the fuel filter and its values adds no information. Baseline 3 applies since the schema already does all the work.

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?

States a specific verb (List) and resource (price bands) with clear scope: autumn 2026, used forklifts, sourced from the price book. It also disambiguates the data type by ruling out inventory and offers, and the plural 'list' naturally contrasts with the sibling get_price_band.

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?

'Not inventory and not offers' gives a partial when-not boundary, but the description never tells the agent when to prefer this enumeration over the singular sibling get_price_band, nor does it state any prerequisite. Usage is implied rather than directed.

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