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Find article looks

find_article_looks
Read-only

Find makeup looks shown in BeautySpark articles, filtered by color season, article type and words. With a season, looks made for that season come first; general looks (no season) follow and are labelled. Returns look ids for get_article_look and the article URL to cite.

Input Schema

NameRequiredDescriptionDefault
typeNoArticle type.
limitNo
queryNoWords to match against the look title, tags and image description, e.g. "smoky", "graphic liner".
localeNoThe user's language as a language tag, e.g. "de" or "pt-BR". Set it from the user's language. Defaults to English.
seasonNoColor season, e.g. "True Winter" or "true_winter". One of the 12 seasons.

Output Schema

NameRequiredDescriptionDefault
looksYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful ordering and labelling semantics, but says nothing about result counts, the limit parameter, or what happens when no matches exist.

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 with the core capability front-loaded, followed by ranking behavior and the return contract. No filler or redundant restatement of the title.

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 values need not be spelled out, though the description still helpfully states that look ids and an article URL come back. It is complete enough for correct invocation, with only minor gaps around limit, locale and empty-result behavior.

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 80%, so most parameters are already documented in the schema. The description maps loosely onto the type, season and query filters but adds no syntax or format detail beyond what the schema provides; the locale and limit parameters are not addressed at all.

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 gives a specific verb and resource ('Find makeup looks shown in BeautySpark articles') and names the three filters. It also implicitly separates this tool from the user-owned-look siblings by scoping results to articles, and from get_article_look by saying it returns ids for it.

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?

It explains the ranking behavior when a season is supplied and notes that general looks follow and are labelled, which tells the agent what to expect from filtering. It stops short of naming an alternative tool or stating when not to use this one, so there is no explicit routing 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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