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

With no annotations, the description carries the burden and does well: it discloses price freshness (checked every 6 hours), multi-retailer sourcing, stock constraint (men's sizes 8–10), the shape of each item's return (price and link) plus a total, and a historical price from about a month ago. It omits currency confirmation (implied GBP by 'UK prices') and any failure/empty-stock behavior.

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 and price-freshness are front-loaded and the example questions close it out, so it is well ordered. The core is one very long, dense sentence with heavy parenthetical stacking, which is slightly harder to parse than it needs to be.

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?

There is no output schema, so the description must describe returns — and it does (per-item price and link, total, month-ago cost). With one optional parameter fully explained, an agent has everything needed to call it correctly; only currency and out-of-stock handling are left implicit.

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 schema's enum note is terse ('trying (default) or hooked'), but the description explains what each level materially means — 'trying' is the cheapest sensible kit, 'hooked' is a full 13/14-piece set with better balls. That is genuine semantic value beyond the structured field.

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 resource — a curated beginner's golf kit priced across UK retailers — and enumerates the contents (package set with bag, shoes, dozen balls, glove, tees) plus the total. This is clearly distinguishable in substance from the generic pricing siblings (search_golf_prices, compare_golf_prices), though it never names them explicitly.

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?

Gives concrete trigger questions ('how much does it cost to start golf?', 'what golf kit does a beginner need?') that map cleanly to the tool's scope. It stops short of stating when NOT to use it or pointing to the cheaper-granularity siblings like get_golf_price.

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