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therealreal_similar

Find comparable products on The RealReal by supplying a numeric product ID. Returns the platform's visual-similarity recommendations for that item.

Instructions

Get The RealReal similar-item recommendations. Returns The RealReal's own "Similar Items" visual-similarity recommendations for one product, looked up by the product's numeric id (from any other The RealReal endpoint's listing response id field). Credential-free public data sourced from The RealReal's own first-party catalog API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesThe RealReal numeric product id, from a search/category/designer/listing/collection response's id field

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description must carry the full burden. It discloses that the data is credential-free and public, which is helpful. However, it does not mention potential error cases (e.g., invalid product id), pagination, or response format. For a read-only lookup tool, the transparency is adequate but not rich.

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?

The description is two sentences with no fluff. It front-loads the main purpose and then provides essential context (id source and data accessibility). Every sentence earns its place.

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?

For a simple tool with one parameter and no output schema, the description covers the core elements: what it does, where to get the id, and that it's public. It does not describe the response structure, but the purpose implies a list of similar items. Missing error handling details are minor given the simplicity.

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% since the parameter description already explains the product id's origin and format. The description adds no new semantic meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

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 a specific action (get similar-item recommendations) for a specific resource (The RealReal product) using a product id. It differentiates from sibling tools by focusing on visual-similarity recommendations, and even specifies the data source (first-party catalog API). The purpose is unambiguous and distinct.

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 explains the required input (product id from other The RealReal endpoints) and implies the use case: when you have a product and want similar items. It does not explicitly name alternatives or when not to use it, but it provides clear context on how to obtain the id, which is sufficient for basic usage 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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