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

With no annotations, the description carries the full burden and does so well: it declares read-only, explains the data provenance (read verbatim from the venue's own dated published menu, never reviews or guesses), and enumerates the return contents including the last-confirmed date and citable URLs. Only auth requirements and result limits/pagination are unaddressed, which is minor for this read-only lookup.

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?

Purpose is front-loaded, followed by provenance, then a concrete return-value list — good ordering with little filler. The 24-slug catalog with counts is lengthy and partially redundant with the schema's note that unknown drinks return the catalog, but it does earn its place by steering parameter choice.

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-parameter, no-output-schema, no-annotation tool, the description supplies everything needed to call it correctly: what it searches, what data backs it, the shape of the results, and the read-only nature. City coverage gaps are reasonably delegated to the list_cities sibling.

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%, so the baseline is 3, and the description goes further by listing the 24 known drink slugs with pour counts and giving plain-word aliases, which materially helps the agent choose a valid 'drink' value. The 'city' parameter's slug/name/'Austin, TX' formats are handled by the schema description rather than the tool description.

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 precise verb and resource: find venues whose VERIFIED menu lists a specific non-alcoholic drink, optionally scoped to one city. The drink-centric, verified-menu-only framing cleanly separates it from venue-oriented siblings like search_venues and get_venue, so an agent can route without opening a schema.

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 implied rather than prescribed: the 'optionally in one city' note and the catalog of currently available drinks give context for when it applies. However, it never states when NOT to use it or points to an alternative (e.g. get_menu for a venue's full menu, search_venues for non-drink discovery), leaving routing to inference.

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