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get_product

Pull an entire product as an agent-ready build kit: the full multi-format design system (tokens + DESIGN.md/Tailwind/CSS/JSON), every curated page, every section grouped by type (with spec + image_url), plus any user flows. Deep-decoded products' tokens also carry measured button states, shadows, motion and the brand's own custom properties. Call this once for "clone/build like " instead of many small calls. Your private BYODS systems resolve first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteYes

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the burden of disclosing behavior. It details what the returned 'build kit' includes, notes conditional extra data for 'deep-decoded products', and explains resolution precedence. It does not mention auth or rate limits, but for a read-oriented aggregate tool, the disclosure is substantial.

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?

The description is three sentences, front-loaded with the main purpose and then elaborating on contents and use case. Every sentence adds value, though the detail is somewhat dense. It is efficient for a tool with high complexity.

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?

Given the lack of output schema, the description provides a strong overview of the return payload (design system formats, sections with specs and image URLs, user flows). It covers the main use case and special token data. Minor gaps remain: no explicit mention of error behavior or limits, but the description is largely sufficient for an agent to invoke the tool correctly.

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

Parameters2/5

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

The schema has 0% description coverage, leaving the sole parameter 'site' completely unexplained. The description implies that 'site' refers to a product identifier ('clone/build like <product>') and mentions BYODS resolution, but it never explicitly states the expected format (URL, name, ID) or how to reference a product. The agent must infer meaning from context, which is insufficient.

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 description clearly states the tool's function: 'Pull an entire product as an agent-ready build kit' with a specific verb and resource. It also enumerates the included components (design system, pages, sections, flows), which distinguishes it from sibling tools like get_design_system or get_section.

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?

The description provides explicit usage context: 'Call this once for "clone/build like <product>" instead of many small calls.' It also mentions resolution order ('Your private BYODS systems resolve first'). It does not explicitly list exclusion cases, but the guidance is clear enough for most scenarios.

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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TDQS

A3.9/5.0
Disambiguation3/5

The compare_* / get_* / search_* family creates real overlap: compare_components, get_component, get_recipe, and search_screens(kind="component") can all answer similar component questions, and the drift family (get_design_drift, get_design_history, list_design_changes) requires careful reading to pick the right one. However, the detailed descriptions mostly draw clear lines between cross-product comparison, single-spec retrieval, and corpus-level search.

Naming Consistency4/5

The server mostly follows a clean verb_noun convention: get_*, compare_*, list_*, search_*, validate_design, generate_asset. The pattern is highly consistent, though a few names differ slightly in style (audit_code vs validate_design vs get_score), and pluralization varies in tools like compare_components and compare_sections.

Tool Count3/5

At 23 tools this is on the heavy side, and several calls overlap in scope enough to feel redundant. That said, the server's broad purpose suggests a design system reference plus audit platform, so the count is justifiable; it could be consolidated into a tighter 15-18 set.

Completeness4/5

The surface covers design system retrieval, component/section/recipe specs, screens and flows, search, audit/tools, icon assets, and drift/history of measured design tokens, leaving few cap gaps for the declared domain. Minor gaps remain around some metadata like direct screenshot banding by product, but no major dead-end workflow is apparent.

Resources