Skip to main content
Glama
AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

products_get_product_by_id

Read-onlyIdempotent

Retrieve a specific product's details from GoHighLevel by providing its ID or slug. Optionally include wishlist status to get complete product information.

Instructions

Get Product by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productIdYesID or the slug of the product that needs to be returned
locationIdNolocation Id Defaults to GHL_LOCATION_ID when omitted.
sendWishlistStatusNoParameter which will decide whether to show the wishlisting status of products
Behavior2/5

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

Annotations declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. However, the description adds no behavioral context beyond what annotations already state—such as response format, pagination, or side effects. Since annotations carry the safety burden and the description adds nothing extra, this is a minimal pass.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief (one sentence), but this is under-specification rather than concise clarity. It fails to include any useful information beyond the name. While it is syntactically minimal, it does not earn conciseness credit because it omits essential context.

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?

Given the tool has 3 parameters and no output schema, the description should clarify what the returned product object contains, how the optional locationId and sendWishlistStatus affect results, and any edge cases (e.g., slug usage). None of this is addressed. The description is inadequate for an agent to confidently invoke the tool correctly.

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 all three parameters are documented in the schema itself. The description does not add any parameter-specific details beyond what the schema provides. Per the calibration baseline for high schema coverage, a score of 3 is appropriate—the description contributes no additional semantic value but does not mislead.

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

Purpose2/5

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

The description 'Get Product by ID' is essentially a restatement of the tool name 'products_get_product_by_id'. It states the verb and resource but adds no differentiating detail from sibling product tools like products_get_product_collection or products_get_price_by_id_for_product. It fails to specify what kind of product data is returned or any unique scope.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternative product retrieval tools. No context, prerequisites, or exclusions are provided. An agent must infer usage solely from the name and schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIWerk/mcp-server-ghl'

If you have feedback or need assistance with the MCP directory API, please join our Discord server