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Create a quote request

create_quote_request

Save a product list for a price quote (pre-order items, large or custom orders, or shipping outside the contiguous US) and return an order code like NB8-7K3QX. Nothing is ordered or charged; the code is sent to NB8 Floral by email or WhatsApp to receive a quote.

Input Schema

NameRequiredDescriptionDefault
itemsYesProducts and stem quantities.
event_dateNoOptional event date, YYYY-MM-DD — helps us check pre-order timing.
project_nameNoOptional label, e.g. 'Smith wedding'.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=false, so the mutation profile is covered. The description adds genuinely useful context beyond that: nothing is ordered or charged, and the returned code must be sent to NB8 Floral by email or WhatsApp to actually receive a quote — a non-obvious downstream step. It doesn't mention rate limits or duplicate-code behavior on repeat calls.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler. The core action and result are front-loaded, with the reassurance ('nothing is ordered or charged') and the required follow-up placed after.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values need not be explained, and annotations cover the safety profile. The description supplies what those structured fields cannot: the intent, the trigger cases, and the fact that the code must be relayed externally to get a quote.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents items, event_date, and project_name, including formats like YYYY-MM-DD. The description only restates the product-list concept and does not add syntax or constraint detail, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Save a product list for a price quote') and immediately clarifies the outcome ('return an order code like NB8-7K3QX'), which separates it from create_checkout_link. An agent can tell what it produces without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names concrete trigger conditions — pre-order items, large or custom orders, shipping outside the contiguous US — which is clear when-to-use context. It does not explicitly name a sibling as the alternative for in-stock purchases, so it falls just short of a 5.

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

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