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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

products_get_product_collection_id

Read-onlyIdempotent

Retrieve detailed information for a specific product collection using its collection ID. Provides complete collection data for CRM operations.

Instructions

Get Details about individual product collection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
altIdNoLocation Id Defaults to GHL_LOCATION_ID when omitted.
collectionIdYesCollection Id
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description is not responsible for conveying safety. However, it adds no extra behavioral context such as return format, pagination, or any side effects. It does not contradict the annotations, but it does not enrich them either, so it meets the baseline for a safe read operation.

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 short sentence with no filler words. It is efficiently written and front-loaded, but extremely terse. It is appropriately concise for a simple read operation, though it lacks substance.

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?

There is no output schema, and the description does not explain what details are returned. The vague wording 'Details about individual product collection' leaves the agent uncertain about the response structure or the specific data fields. For a tool that is likely used to retrieve a collection, the description should at least outline the kind of information the caller will receive.

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?

The schema has 100% description coverage for both parameters ('altId' and 'collectionId'), so the description does not need to add parameter details. It does not add any extra meaning beyond what the schema provides, so it earns the baseline score.

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 verb ('Get') and a resource ('product collection'), but the phrase 'individual product collection' is vague and does not clarify that this tool fetches a single collection by ID. It does not distinguish itself from sibling tools like 'products_get_product_collection' or 'products_get_product_by_id', making it hard for an agent to know which one is appropriate without opening the schema.

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 given on when to use this tool versus alternatives. There is no mention of prerequisites, filters, or why this tool exists alongside similar siblings. An agent must infer that it is for a specific collection ID, which is not stated in the description.

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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