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Crawlora MCP

therealreal_similar

Read-only

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 tool's listing response id field).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "product_id": "<product_id>"
    },
    "name": "therealreal_similar"
  }
}

Input Schema

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

Output 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

A4.2/5.0
Behavior4/5

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

Annotations already cover readOnlyHint and openWorldHint, so the safety profile is known. The description adds meaningful provenance semantics – that these are the site's own recommendations (not agent-derived similarity) and that similarity is visual – which is genuinely useful context. It does not discuss rate limits or latency, so it is not a full 5.

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?

A single front-loaded sentence that names the resource, the nature of the result, and the input constraint with no filler.

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 shape need not be described, and annotations cover the safety profile, so the remaining burden is input provenance – which the description handles. Only minor gaps (e.g., whether recommendations can be empty) remain.

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 single parameter is fully documented, so the baseline is 3. The description reinforces that the id is numeric and cross-tool in origin, but adds little beyond what the schema property description already states.

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?

States a specific verb and resource: it returns The RealReal's own "Similar Items" visual-similarity recommendations for a single product. An agent can tell this apart from therealreal_listing or therealreal_search because the output is explicitly recommendation data, not product data.

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 specifies the lookup key and where that key comes from ("from any other The RealReal tool's listing response id field"), which effectively tells the agent this is a follow-up call after a listing/search. It stops short of naming an alternative tool or an explicit when-not-to-use condition.

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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