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Trustpilot reviews for a company website: business name

b2b_trustpilot_reviews
Read-only

Trustpilot reviews for a company website: business name, TrustScore, star rating, total reviews and reviews in the last 12 months, categories, plus 20 reviews per page (page 1 to 10, newest first; optional star filter) with rating, title, text, dates, reviewer name, country and review count, verification level and the company's reply. From trustpilot.com's public review pages via a rendering residential proxy. Takes 30 to 90 s; allow a 120 s timeout. Related tools on this server, for a different need: b2b_clutch_reviews when you need Clutch.co top B2B service providers in a category: name; b2b_seek_company_reviews when you need employer reviews from SEEK, the main job site of Australia. Price: $0.02 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

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": {
      "domain": "<domain>"
    },
    "name": "b2b_trustpilot_reviews"
  }
}

Input Schema

NameRequiredDescriptionDefault
pageNoReviews page 1 to 10 (default 1)
starsNoOptional: only reviews with these stars, 1 to 5
domainYesCompany domain as on trustpilot.com/review/<domain>, e.g. apify.com, amazon.com

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Goes well beyond the readOnlyHint/openWorldHint annotations: discloses the residential-proxy rendering dependency, a 30-90 s runtime with a recommended 120 s timeout, 20 reviews per page across 10 pages ordered newest first, and a per-call price model where failed calls are not charged. That is exactly the kind of operational context the annotations cannot carry; only the payment mechanics (x402 across Base/Solana/Arc) are stated tersely rather than explained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose and scrolling constraints up front, which is good, but it is a single run-on sentence that spends a long clause enumerating returned review fields that the output schema already documents. The timeout and pricing clauses are appended at the end, mixed in with sibling routing, so the dense packing works against skim-ability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a network-scraping tool with three parameters, an output schema, and read-only annotations, it covers everything an agent needs to call it correctly: required domain format, paging bounds, latency/timeout expectations, and billing behavior on failure. Nothing material is left to inference.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description still adds meaning: it ties `page` to the 1-10 range with newest-first ordering and 20 reviews per page, and characterizes `stars` as an optional filter over 1-5. The `domain` semantics largely restate the schema's example.

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?

Opens with a specific verb+resource: Trustpilot reviews for a company website, and enumerates what the record contains (TrustScore, star rating, review text, verification, company reply). It also explicitly routes to b2b_clutch_reviews and b2b_seek_company_reviews as serving different needs, so the agent can distinguish it from siblings without opening any schema.

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

Usage Guidelines5/5

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

Names two concrete alternatives with the condition that selects each ('when you need Clutch.co top B2B service providers in a category', 'when you need employer reviews from SEEK'), plus inline usage hints for paging (page 1 to 10, newest first) and the optional stars filter. The only mild gap is that the when-not case is implied by the alternatives rather than stated as a prohibition.

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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