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Get review nuggets

reviewsio_get_review_nuggets
Read-only

Short, highlight-worthy review snippets (nuggets) of company and/or product reviews, for marketing. Filter by SKU, tags, branch, minimum rating. GET /review-nuggets/data.

Input Schema

NameRequiredDescriptionDefault
skuNoOnly these product SKUs.
tagsNoOnly reviews with these tags.
typesYesWhich review kinds to draw nuggets from.
branchNoOnly reviews of this branch.
per_pageNoResults per page, 1-100.
min_ratingNoMinimum star rating 1-5.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and external-data scope are covered structurally. The description adds the useful framing that results are curated marketing snippets (not raw reviews) and discloses the endpoint path, but says nothing about pagination, ordering, or how many nuggets are typically returned.

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?

Two tight sentences plus the endpoint, with the defining concept ('nuggets') front-loaded ahead of the filter list. Nothing is wasted, though the trailing GET path is redundant with the tool's own framing.

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 read-only list endpoint with no output schema and full schema coverage, the description gives enough to understand what is returned (curated marketing snippets) and what can be filtered. The only real gap is that it never mentions the required 'types' selector, which an agent could miss.

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%, so every parameter is already documented in the schema, establishing a baseline of 3. The description repeats the filterable dimensions (SKU, tags, branch, minimum rating) but omits the required 'types' parameter and per_page, adding no syntax or semantics beyond the schema.

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?

States a specific verb+resource ('Get review nuggets') and defines what a nugget is ('short, highlight-worthy review snippets of company and/or product reviews'), which meaningfully separates it from siblings like list_reviews or get_review_stats. It does not explicitly name an alternative tool, so it falls short of a 5.

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?

'for marketing' implies the intended context and the filter list hints at narrowing use, but there is no explicit when-to-use/when-not guidance or named alternative. The agent must infer that this is for pulling promotional snippets rather than raw review listings.

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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