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

With no annotations, the description carries the full burden, and it does disclose useful traits: the data source is the 'live catalog', prices are integer cents (unit convention), and it explicitly disclaims any ordering side effect. It omits what else a caller might need — availability/stock behavior, pagination, or auth requirements — so it is adequate 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?

Three short, front-loaded fragments with zero filler: scope first, then the unit convention, then the negative guarantee. Every clause earns its place and nothing is repeated from the schema.

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 two-optional-parameter read tool, the description covers purpose, data source, price unit, and the absence of side effects, which is most of what an agent needs. Since no output schema exists, the item shape and pagination behavior are left unspecified, which is the only meaningful gap.

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%, so the enum for 'kind' (drinks/merch/both, default drinks) and the 'query' name filter are already documented in the schema. The description adds no parameter-level detail beyond echoing the drinks/merch split, so the baseline 3 applies.

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 states a concrete verb and resource: it returns a public drink menu from the live catalog or shipped merch, with the catalog scope made explicit. Siblings (get_location, match_intent, recommend_path, understand_site) are unrelated domains, so no sibling disambiguation is needed, which caps this at 4 rather than 5.

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?

Usage is only implied: an agent infers it should call this when it needs menu contents. The closing clause 'Does not place an order' functions as a partial when-not (this is not an ordering tool), but there is no explicit statement of when to prefer it or any prerequisites.

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