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ghl-mcp-server-v2

by zackscriven

ghl_product_price_create

Create a price for a product by specifying details such as name, type, currency, amount, and location. Supports one-time and recurring pricing with optional trial periods and setup fees.

Instructions

Create Price for a Product The "Create Price for a Product" API allows adding a new price associated with a specific product to the system. Use this endpoint to create a price with the specified details for a particular product. Ensure that the required information is provided in the request payload. Endpoint: POST /products/{productId}/price (Version header: v3; source: v3/products-v3.json) OAuth scopes: products/prices.write

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesRequest body (schema carried verbatim from the official OpenAPI spec).
productIdYesID of the product that needs to be used
Behavior4/5

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

The description reveals that this tool performs a write operation (create), consistent with annotations (readOnlyHint=false, destructiveHint=false). It also discloses OAuth scopes and endpoint details. However, it does not discuss side effects (e.g., immediate availability of the price) or error scenarios. No contradiction with annotations.

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 fairly concise, front-loading the purpose and including key details like endpoint and OAuth. However, there is minor redundancy ('Create Price for a Product' repeated in the title and first sentence), and the instruction 'Ensure required information is provided' adds little value. Overall, it is well-structured.

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?

Despite high schema coverage, the description fails to mention the return value (no output schema is provided). For a creation tool, knowing the response format is crucial. It also omits error conditions or prerequisites beyond OAuth. The description is incomplete for effective usage.

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?

Input schema coverage is 100% with detailed parameter descriptions. The description's general statement about 'specified details' adds no new meaning beyond what the schema already provides. Therefore, a baseline score of 3 is appropriate, as the description does not need to compensate.

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 the tool creates a price for a product, using the verb 'Create' and specifying the resource ('Price'). It distinguishes from sibling tools like ghl_product_price_delete, ghl_product_price_get, ghl_product_price_list, and ghl_product_price_update, which have different actions. The endpoint and OAuth scopes further clarify the operation.

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?

The description provides basic usage instruction ('Use this endpoint to create a price') but does not explicitly guide when to use this tool versus alternatives like update or delete. The sibling tools are not referenced, so the agent must infer differentiation from names. OAuth scopes are mentioned, adding some context, but no exclusions or prerequisites are given.

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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