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Crawlora MCP

sephora_product

Read-only

One Sephora product's full detail: name, brand, description, category, rating, review count, a sample of recent reviews, and every purchasable color/shade variant with its own price and availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesRequired. The full Sephora product-page slug, e.g. lip-sleeping-mask-P420652 -- copy it from the path segment after https://www.sephora.com/product/ on any product page.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered by structured fields. The description adds useful content context by listing what the payload contains (variants with price/availability), but discloses nothing about auth, rate limits, or freshness of reviews beyond what annotations imply.

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?

A single front-loaded sentence with no filler; the core identity ('one Sephora product's full detail') comes first, followed by the field inventory. The trailing field list is long but each item earns its place by telling the agent what is retrievable.

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?

With an output schema present the return values need not be re-explained, and annotations cover the safety profile, so the description is largely complete. The main omission is routing guidance against sibling review/question tools, which is a minor gap for a single-parameter detail endpoint.

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 100% and the product_id parameter is thoroughly documented with format and an example slug in the schema itself. The description adds no parameter syntax or format detail beyond that, so baseline 3 is correct.

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?

The description states a specific resource — one Sephora product's full detail — and enumerates the returned fields (name, brand, rating, variants, etc.), so an agent knows exactly what it fetches. It does not, however, differentiate itself from close siblings like sephora_product_reviews or sephora_product_questions, which it partially overlaps with by including a 'sample of recent reviews'.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus sephora_search, sephora_product_reviews, or sephora_product_questions, and no preconditions are stated. The agent must infer that this is the detail-lookup that follows a search result.

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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