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Search NB8 artificial flowers

search_products
Read-onlyIdempotent

Search NB8 Floral's artificial (silk) flower catalog by flower type, color and keywords.

Returns matching products with price per pack, stems per pack, price per stem, delivery time, free-shipping flag, product link and photo. When nothing matching is listed on the website, returns pre-order options (estimated price, lead time on request). When the flower type is not recognized, returns the list of flower types in the catalog.

Input Schema

NameRequiredDescriptionDefault
colorNoColor, e.g. 'white', 'blush pink', 'burgundy', 'sage green'.
limitNoHow many products to return (1-10).
queryNoExtra keywords matched against product names, e.g. 'sample box', 'bouquet', 'real touch'.
flower_typeNoFlower or greenery type in English, e.g. 'peony', 'rose', 'hydrangea', 'eucalyptus', 'babys breath'. Empty means keyword-only search.
us_stock_onlyNoOnly return items in the US warehouse (about 7-day delivery).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuinely non-obvious behavior beyond that: degraded-result fallbacks (pre-order options, unrecognized-type type list), which materially change how an agent should interpret an empty or odd result.

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?

Three tight sentences, front-loaded with the core action and then the result/fallback behavior. No filler, no repetition of the title, and each sentence carries distinct information.

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-shape explanation is not required, yet the description still summarizes the key fields (price per pack, stems per pack, delivery time, free-shipping flag, link, photo) and the fallback cases. Nothing an agent needs 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.

Parameters3/5

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

Schema coverage is 100% and each parameter is well documented in the schema, so the baseline is 3. The description only restates the searchable dimensions (type, color, keywords) and adds no new syntax, defaults, or interaction rules beyond what the schema already provides.

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

Purpose4/5

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

States a concrete verb (search) and resource (NB8 Floral's artificial flower catalog) plus the dimensions searched (flower type, color, keywords). It is unambiguous, but it never names or contrasts itself with siblings like get_products or identify_flowers, so the agent must infer the distinction.

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?

Gives clear operating context: search by type/color/keywords, with a documented fallback to pre-order options when nothing is listed and to a flower-type listing when the type is unrecognized. It does not explicitly say when to prefer this over get_products or identify_flowers, so it stops short of full when/when-not guidance.

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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