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Blumee — flower delivery comparison (Germany)

Match bouquet photo

match_bouquet_photo
Read-onlyIdempotent

Use this tool when the user provides a photo of a bouquet or flower arrangement and wants to find visually similar products available through Blumee. Identifies the flowers and colours in the photo (Pl@ntNet + vision model) and returns the closest real offers. Send the photo as image_file (attached file), image_url (public https) or image_base64 — exactly one. If you can see the photo but cannot pass it to this tool, call search_flower_offers with your own description instead. Takes ~5-15 s.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many offers to return (default 8, max 20).
image_urlNoPublic https URL of the photo (JPEG, PNG, WebP or HEIC, max 8 MB).
image_fileNoThe photo the user attached (ChatGPT fills this automatically from the attachment).
image_base64NoBase64 of the image file, for programmatic clients only (max 8 MB decoded).
max_price_eurNoUpper price limit in EUR, inclusive. Hard filter.
max_delivery_daysNoLatest acceptable delivery, in days from today, for an address in Germany (1 = tomorrow). If the user names a date, convert it to days. Hard filter on the shop-stated delivery time.

Output Schema

NameRequiredDescriptionDefault
hintNoWhat to try next when the result is empty.
offersYes
analysisYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / offers / items / properties / image_url / description
      Added value: +"Product photo, ~640 px WebP on img.blumee.app (the shop original until it is mirrored)."
  2. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld, non-destructive. The description adds latency expectations (~5-15 s), the internal pipeline (Pl@ntNet + vision model), and the mutually-exclusive input constraint, which the annotations cannot express. It does not discuss failure modes when no match is found.

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

Conciseness4/5

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

Front-loaded with the trigger condition, then mechanism, input options, fallback, and latency. Every sentence carries information, though the parenthetical about Pl@ntNet is slightly incidental and the sentence could be tightened.

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?

With an output schema present, the description need not explain return values. It covers trigger, input routing, fallback path, and runtime — everything an agent needs before invoking a 6-parameter, no-required-parameter tool.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description earns above baseline by stating that exactly one of image_file/image_url/image_base64 must be supplied — a cross-parameter constraint the schema cannot express — and by clarifying what image_file represents (the attached photo, auto-filled by the client).

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 (match), resource (bouquet photo), and the concrete outcome: identifying flowers/colours and returning visually similar real offers. This is clearly distinguishable from browse_catalog, get_flower_offer, and search_flower_offers.

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

Usage Guidelines5/5

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

Explicitly frames the trigger condition (user provides a bouquet photo and wants similar products) and names a concrete alternative path: if the photo cannot be passed through, call search_flower_offers with a description. This is exactly the when/when-not/alternatives structure.

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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