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B2b Trustpilot Reviews

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. Price: $0.02 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON 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

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Goes well past the readOnlyHint/openWorldHint annotations: it discloses the data source (trustpilot.com public review pages via a rendering residential proxy), the exact cost model ($0.02 USDC per successful call via x402 on Base, Solana or Arc) and that failed calls are not charged. It also discloses result-set behavior — 20 reviews per page, 10-page cap, newest-first ordering — which materially affects how an agent should paginate and budget.

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 dense sentence that front-loads the company-level fields, then per-page fields, then pagination/filter rules, then cost and provenance — a sensible ordering with no filler. The long enumeration of returned fields is close to redundant given an output schema exists, costing it a point on tightness.

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 paid, proxied, paginated scraping tool the description covers everything an agent needs before calling: cost and billing semantics, payment rails, page bounds, ordering, optional filter, and data provenance. Since an output schema exists, the field list is surplus detail rather than a gap.

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 adds semantics the schema lacks: page size of 20 per page, newest-first ordering, and the fact that the star filter is optional and narrows to a 1-5 rating. The domain example ('as on trustpilot.com/review/<domain>') largely restates the schema field.

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?

Names the exact resource and source: Trustpilot reviews for a company website, with an explicit inventory of the returned company-level fields and per-review fields. The Trustpilot/trustpilot.com naming implicitly separates it from siblings like b2b_clutch_reviews or b2b_seek_company_reviews, but no sibling is named and there is no leading verb phrase.

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

Usage Guidelines3/5

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

The description implies the use case (pulling a company's Trustpilot reputation data) and supplies input conventions such as domain format and the page 1-10 range with newest-first ordering. It never states when to prefer this over the other review-source tools (clutch, g2, seek) or any preconditions, so routing must be inferred from the source name alone.

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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