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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is covered. The description adds genuine context on top of that: results are ranked offers carrying price, shop, delivery time and links, and the tool searches real listed inventory rather than generating suggestions. It stops short of describing pagination or ranking criteria, which keeps it below a 5.

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?

One front-loaded paragraph that opens with the core purpose before branching into usage cases, the photo fallback, and the return shape. Dense and mostly waste-free, though the photo-fallback sentence is long and slightly convoluted.

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?

A complete picture for a 10-parameter search tool: purpose, trigger conditions, query-vs-structured-field guidance, the sibling fallback path, and an indication of what comes back. With an output schema present and full schema coverage, nothing an agent needs in order to call this correctly is missing.

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 structural baseline is 3. The description still earns credit by explaining the intended split between free-text 'query' (any language, user's own words) and the optional structured fields ('add structured fields when you know them'), which tells the agent how to combine the two rather than just what each field holds.

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 verb and resource ('Find real flower bouquets and potted plants for sale') and scopes the input as 'from a description'. It also explicitly carves out its relationship to the sibling match_bouquet_photo, so an agent can separate the two tools without opening either 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?

Gives explicit when-to-use conditions ('whenever the user asks for flowers in words') with concrete worked examples covering type, colour, occasion, recipient, budget and deadline. It also names the alternative and the exact condition that routes to it: use this when a photo is shown but match_bouquet_photo cannot receive the file.

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