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zackscriven

ghl-mcp-server-v2

by zackscriven

ghl_product_review_list

Read-onlyIdempotent

Fetch product reviews with optional filters by rating, date range, product, or store. Supports pagination to navigate results.

Instructions

Fetch Product Reviews API to fetch the Product Reviews Endpoint: GET /products/reviews (Version header: v3; source: v3/products-v3.json) OAuth scopes: products.readonly Pagination params: limit, offset — pass them to page through full result sets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
altIdYesLocation Id or Agency Id
limitNoThe maximum number of items to be included in a single page of results
offsetNoThe starting index of the page, indicating the position from which the results should be retrieved.
ratingNoKey to filter the ratings
altTypeYes
endDateNoThe end date for filtering reviews
storeIdNoComma-separated list of store IDs
productIdNoComma-separated list of product IDs
sortFieldNoThe field upon which the sort should be applied
sortOrderNoThe order of sort which should be applied for the sortField
startDateNoThe start date for filtering reviews
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint, so the safety profile is clear. The description adds pagination and OAuth scopes but doesn't detail rate limits, data freshness, or response structure (no output schema).

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?

The description is short and front-loaded with the purpose. It includes endpoint, OAuth scopes, and pagination without unnecessary fluff. Every sentence adds value.

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

Completeness2/5

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

With 11 parameters and no output schema, the agent lacks information about the response format and filtering behavior. The description covers pagination but not how filters (rating, date, store, product) interact or what the returned data looks like.

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 coverage is 91%, so baseline is 3. The description mentions pagination params (limit, offset) explicitly, but other parameters are not described in the description. The schema already documents them sufficiently.

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?

The description clearly states 'Fetch Product Reviews' and includes the endpoint and OAuth scopes. The tool name and description align, and it is distinct from sibling review tools like bulk_update, count, delete, update.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool vs alternatives (e.g., ghl_product_review_count). There is no mention of use cases or exclusion conditions.

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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