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

Even with readOnlyHint and idempotentHint annotations, the description adds valuable behavioral detail: loose-diamond searches return listings flagged availability_verified false plus a storefront browsing link, availability is verified for jewelry only, and results are not reservations. This goes well beyond the annotations and clarifies important semantic caveats.

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 dense and front-loaded with scope, with each sentence contributing caveats, return contents, or usage context. It is slightly long, but this is justified by the need to explain the availability verification nuance and exclusions.

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?

Given there is no output schema, the description does a good job describing return contents (prices, variants, links, availability_verified flags), limitations, and usage boundaries. An agent has enough context to decide when to call it and what to expect from the results.

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 schema already documents query and limit. The description adds value by giving natural-language query examples and clarifying that the query targets catalog inventory rather than loose-diamond stock, enriching what the parameter means in practice.

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 names a specific verb ('Search') and resource ('Stienhardt's public Shopify catalog of engagement ring settings and fine jewelry'), and clearly distinguishes itself from loose-diamond verification. This lets an agent immediately understand what the tool does and how it differs from related inventory tools.

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?

The description gives explicit usage examples ('show me platinum wedding bands') and clear exclusions ('Not for appraisal or price advice on stones sold elsewhere'). It does not name a sibling alternative like get_product, so the when-to-use guidance is strong but not fully complete at the alternative-routing level.

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