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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

products_update_product_review

Idempotent

Update a product review by specifying review ID and product ID, adjusting status, rating, headline, reply, or detailed content.

Instructions

Update Product Reviews

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
altIdNoLocation Id or Agency Id Defaults to GHL_LOCATION_ID when omitted.
replyNoReply of the review
detailNoDetailed Review of the product
ratingNoRating of the product
statusYesStatus of the review
altTypeNoDefaults to GHL_LOCATION_ID when omitted.
headlineNoHeadline of the Review
reviewIdYesReview Id
productIdYesProduct Id
Behavior2/5

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

Annotations already indicate readOnlyHint=false, destructiveHint=false, and idempotentHint=true, establishing that this is a safe, non-destructive update. The description adds no behavioral context beyond the word 'Update' — it does not explain consequences, required permissions, or any side effects. It neither contradicts nor enriches the annotation profile.

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?

The description is extremely concise — one short sentence. While it is not verbose, it is too underspecified to be considered well-structured. It lacks any substance that would earn its place beyond repeating the tool name, so it falls below a strong conciseness score.

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?

For a mutation tool with 9 parameters and no output schema, the description is severely incomplete. It does not explain what a successful update entails, the meaning of required fields like 'status', or expected outcome. The agent is left to infer from the schema alone, which is insufficient for a non-trivial operation.

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% for all 9 parameters, so the baseline is 3. The description itself contributes no parameter-level meaning; it repeats the action but does not clarify which parameters are essential or how they relate to the update operation. All semantic load falls on the schema, which is adequate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Update') and resource ('Product Reviews'), which identifies the action and subject. However, it is essentially identical to the tool name and provides no detail on what aspects of a review can be updated (e.g., rating, headline, reply), making it too generic to distinguish from related tools like products_bulk_update_product_review.

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 versus alternatives. It does not mention bulk updates, read-only review retrieval, or any conditions that would select this tool over siblings. The absence of any usage context leaves the agent without direction.

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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