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Dream Is Free — Streetwear, Denim & Hoodies

Render product detail

render_product_detail

Render the interactive detail UI for one exact Dream Is Free product. Pass a product_id when known; otherwise pass the exact product-name query directly because this tool resolves it internally. Use this only when the shopper explicitly asks to view, inspect, review, or get specifications for one exact product, or selects a product from search results. Do not call it automatically to rank, compare, validate, or explain discovery results. Do not call product search first to resolve the product. For matching items, recommended pairs or what to wear with this product, use render_complete_the_look instead.

Input Schema

NameRequiredDescriptionDefault
queryNo
selectedNo
product_idNo
buyer_contextNo

Output Schema

NameRequiredDescriptionDefault
typeNoproduct_detail_result
storeYes
messageYes
productYes
selectedNo
sizeGuideNo

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?

With no annotations, the description carries the full burden and does disclose meaningful behavior: the tool resolves a product name internally, returns an interactive UI rather than raw data, and should not be invoked automatically. It does not cover what happens on an ambiguous or non-matching query, nor whether rendering has any side effects, which keeps it short of a 5.

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?

It is front-loaded with the purpose before routing rules, and the exclusion sentences genuinely prevent misuse. The 'use only when' and 'do not call automatically' clauses overlap slightly, costing a bit of tightness but not readability.

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

Completeness4/5

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 unnecessary, and the routing/alternative guidance is thorough. The remaining gap is the undocumented selected and buyer_context inputs, which matter for a four-parameter tool with zero schema coverage.

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 0%, so the description must compensate, and it does explain the two core inputs: pass product_id when known, otherwise pass the exact product-name query because resolution happens internally. The selected and buyer_context parameters get no mention at all, leaving half the inputs unexplained.

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?

The first sentence states a specific verb (render), resource (interactive detail UI), and scope (one exact product), so an agent knows precisely what it produces. It also names the sibling it is not — render_complete_the_look — making it separable from the adjacent detail/styling tools without opening any schema.

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?

Explicit triggers are given (shopper asks to view, inspect, review, or get specs for one exact product, or selects from search results), explicit exclusions are given (not for ranking, comparing, validating, or explaining discovery results), and an alternative is named for matching-item queries. It even rules out the tempting intermediate step of calling product search first.

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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