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brilliantdirectories

brilliant-directories-mcp

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getReview

Read-onlyIdempotent

Fetch a single review record by ID. Use for investigating specific reviews from moderation notifications or support tickets.

Instructions

Get a single review - Fetch a single review record. Read-only.

Lean by default: review_description is truncated to the first 500 chars + when longer (tagged review_description_truncated: true). Pass include_full_text=1 to get the complete body. For a single-record inspection this is usually the right call.

Use when: investigating one specific review (usually from a moderation notification or support ticket that includes the review_id). For bulk moderation use listReviews with review_status filter.

Required: review_id.

See also: listReviews (enumerate many; supports keyword filter via property=review_description property_operator=LIKE).

Returns: { status: "success", message: [{...record}] } - the message array contains 1 record when found. Empty or HTTP 404 when not found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
review_idYes
include_full_textNoOpt in to return the full `review_description` body. Default is lean: bodies over 500 chars are truncated and tagged `review_description_truncated: true`. Set `1` to get the complete body for this specific review.
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, etc. The description adds useful behavior like truncation of review_description and the effect of include_full_text, along with response format.

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?

Well-structured with bold headers, front-loaded purpose, and efficient sentences. Slightly verbose on return format but overall concise.

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?

Completely covers tool usage, parameters, return behavior, and sibling references. No output schema, but description provides enough context for an AI agent to use correctly.

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 covers include_full_text with description, but the description explains truncation details and mentions review_id as required. Adds practical context beyond schema.

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 'Get a single review' and 'Fetch a single review record', specifying the verb and resource. It distinguishes from sibling tools like listReviews (bulk) and mutation tools.

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?

Explicitly states 'Use when: investigating one specific review...' and directs to listReviews for bulk moderation, providing clear context and alternatives.

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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