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Shop the look from a design

shop_this_look
Read-onlyIdempotent

Find real products that match an item in a room photo or a House AI design, for example the sofa, rug or pendant light in a redesign. Pass the design's image_url and the item to find.

Input Schema

NameRequiredDescriptionDefault
itemYesThe item to match, for example 'sofa', 'rug', 'pendant light'.
photoNoThe room or house photo the user attached in chat. Filled in by the app, not typed.
countryNoTwo-letter country code for local stores, for example 'US'.
photo_urlNoA public https link to the photo, if the user gave one instead of attaching it.
photo_upload_idNoThe upload_id from get_photo_upload_link, once the user says the photo is uploaded.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnly=true, destructive=false, idempotent=true and openWorld=true, so the safety profile is covered and the bar is lower. The description adds only that the result set is real purchasable products, leaving unstated which photo input wins when several are supplied and what the results contain (retailers, prices, availability).

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?

Two tight sentences with the purpose front-loaded and the example immediately after. The second sentence is where the wasted/incorrect instruction lives, but overall there is little padding.

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

Completeness3/5

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

There is no output schema, so the description should say what comes back from a shopping search; instead it only says real products are found. For a 5-parameter tool with a nested photo object and three alternative photo sources, the description should do more than restate the happy path.

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%, so the baseline is 3 and each parameter including photo.download_url and photo_upload_id is documented in the schema. The description adds nothing about the mutual exclusivity of photo / photo_url / photo_upload_id, and its instruction to 'pass the design's image_url' names a field that does not exist in the schema, which mildly undercuts the schema it should be reinforcing.

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?

A specific verb+resource: 'find real products that match an item' in a room photo or design, with concrete examples (sofa, rug, pendant light). It is distinguishable from redesign_room and find_furniture_and_decor in spirit, but never names those siblings explicitly to draw the boundary.

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

Usage Guidelines3/5

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

It gives an originating context (an item in a room photo or House AI design) and an example, which implies when to call it. But there is no explicit when-not, no prerequisite ordering (e.g. get_photo_upload_link before passing photo_upload_id), and no comparison against find_furniture_and_decor or the redesign tools.

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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