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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that this is a non-committal pricing step ('before placing the order'), but says nothing about whether the quote is guaranteed, how coupon validity is handled, or what happens if the city/date is unserviceable.

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?

A single front-loaded sentence with zero filler; every clause maps to a real dimension of the tool's behavior.

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?

With no output schema and no annotation gaps, the description should explain the shape of the result (currency, breakdown, whether the coupon discount is shown) and error conditions. It gestures at the return value ('exact total') but leaves it thin for a 4-parameter quoting tool.

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 0%, so the description must carry the load — and it does name all four concepts (bouquet, city, date, coupon) in prose. It adds no format, constraint, or enum detail, so it only partially compensates for the undocumented schema.

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 outcome — the exact total for a bouquet delivered to a city on a date, optionally with a coupon — which is a concrete computational purpose. It implicitly distinguishes itself from create_order via 'before placing the order', though it never names a sibling 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?

'before placing the order' implies the tool is a pre-check step, which is useful contextual guidance. However, no alternatives are named and there is no explicit when/when-not framing against siblings like create_order or delivery_options.

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