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

Beyond the read-only annotations, the description discloses important behavior: only in-stock rackets, US shipping scope, the same matching engine as the website, exactly three ranked picks, and purely fit-based ranking. It also explains that accessories are included in the result, how to offer them, what fields to show per pick, and how to proceed to add_to_cart and build_kit.

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 front-loaded with the purpose, then moves through inference rules, output presentation, and purchase handoff without obvious filler. It is dense and somewhat run-on in places, but each section carries actionable information for the agent.

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 12-parameter recommendation tool with no output schema, the description covers the key operational details: how to infer required inputs, when to avoid asking questions, what the result contains, how to present each pick and accessory, and what to call for purchase. It gives the agent enough context to use the tool correctly without needing to explain every schema enum in prose.

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 baseline is already strong, but the description adds useful inference guidance such as mapping 'I play 3 times a week and love to smash' to intermediate/aggressive and 'my elbow hurts' to injury sometimes. It also tells the agent to omit parameters it cannot infer rather than inventing pain, age, or budget, though it does not add much detail on every optional parameter.

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 specific verb and resource: recommends the 3 best-fitting padel rackets for a player. It also scopes the result to the Padel USA store, in-stock rackets only, and US shipping, and clarifies that ranking is purely fit-based via the same matching engine as the site's Racket Finder.

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?

It gives strong when-to-use guidance: answer the Finder questions from what the shopper already said, call as soon as level can be inferred, and ask at most one short question only if level cannot be guessed. It also says not to fabricate arm pain, age, or budget, though it does not explicitly compare itself with sibling alternatives such as racket_quiz or search_products.

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