Skip to main content
Glama
bigl34

inFlow Inventory MCP Server

by bigl34

create_product_group_variants

Create product group variants in inFlow Inventory by previewing deterministic IDs first; apply remains blocked until canary validation.

Instructions

Preview deterministic product/variant IDs for a compensated create-and-attach saga. Apply stays blocked until its canary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNo
variantsYes
previewTokenNo
idempotencyKeyNo
productGroupIdYes
expectedDesiredHashNo
expectedSemanticHashNo
expectedWriteShapeHashNo
expectedEntityTimestampNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.0-alpha.2

TDQS

C2.3/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses deterministic ID generation and a saga pattern, but omits critical details like the dryRun default, what previewToken is for, idempotency requirements, and how the expected hash fields affect safety. The opacity around 'canary' leaves the apply flow unexplained.

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?

Two concise sentences with no filler, and the core action is front-loaded. The brevity is appropriate structurally, though the content is too sparse to be fully useful.

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 a complex mutation tool with 9 parameters, nested arrays, no output schema, and no annotations, the description is severely incomplete. It provides high-level saga context but leaves the agent unable to call the tool correctly without guessing at core behaviors.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description mentions no parameters at all. With 9 parameters including required nested variants and hash fields, the description does nothing to explain their meaning or usage.

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 names a specific verb ('Preview') and resource ('product/variant IDs'), but the phrase 'compensated create-and-attach saga' is opaque jargon that obscures whether the tool creates, previews, or does both. It does not clearly distinguish itself from siblings like create_product_group_variants or set_product_group_config.

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?

There is no explicit guidance on when to use this tool versus alternatives. The clause 'Apply stays blocked until its canary' hints at a precondition for a subsequent apply, but does not tell an agent when previewing is appropriate or what canary means in practice.

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

Deploy Server

Other Tools