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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

products_bulk_edit

Update multiple products and their prices in GoHighLevel in one operation. Pass an array of product objects to modify inventory and pricing data efficiently.

Instructions

Bulk Edit Products and Prices

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
altIdNoLocation Id or Agency Id Defaults to GHL_LOCATION_ID when omitted.
altTypeNoDefaults to GHL_LOCATION_ID when omitted.
productsYesArray of products to update. Note: The total count includes all prices within each product.
Behavior2/5

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

Annotations indicate this is a write operation (readOnlyHint false) and non-destructive (destructiveHint false), but the description adds no behavioral context. It does not explain whether the edit replaces entire product objects or merges properties, nor does it disclose any limits on batch size or the nature of price updates. The only extra detail (total count includes all prices) comes from the parameter schema, not the description.

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 a single, concise sentence with no redundant wording. It front-loads the action and target, making it easy to scan. However, it might be too terse, but the dimension measures conciseness and structure, not completeness, so a short, clear statement earns a high 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 bulk edit operation that can modify multiple products and prices, the description is inadequate. It does not specify which fields can be edited, whether prices are updated as a whole, or how errors are handled. The lack of an output schema and minimal description leaves an agent uncertain about the operation's scope and consequences.

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 each parameter already has a description. The tool description itself adds no additional meaning beyond what the schema provides. The 'products' parameter description in the schema already includes the important note about total count including prices, so the description does not compensate further.

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 'Bulk Edit Products and Prices' states a clear verb (edit) and resource (products and prices), which is not a tautology. However, it does not differentiate from the sibling tool 'products_bulk_update', which likely performs a similar function, so it lacks the specificity needed to distinguish between them.

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?

The description provides no guidance on when to use this tool over alternatives, such as 'products_bulk_update' or individual product update tools. There is no mention of constraints, prerequisites, or conditions that would help an agent decide between this and similar tools.

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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