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AIWerk

mcp-server-smallinvoice

by AIWerk

create_product_category

Create a new product category by providing a name and optional accounting account number.

Instructions

Creates new product category

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName
accounting_account_numberNoAccounting account number
Behavior2/5

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

Annotations indicate the tool is not read-only and not destructive, but the description adds no further context about side effects, authorization needs, or rate limits. Simply stating 'creates' is insufficient to disclose behavioral traits beyond what annotations already provide.

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 extremely concise at one sentence (4 words) and directly states the action. It is front-loaded and contains no superfluous information, though it could arguably be too terse for some use cases.

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 2 parameters (one required) and no output schema, the description lacks important context such as return values, success/error handling, or behavior on duplicate names. The description is insufficient for a complete understanding.

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 coverage is 100% with descriptions for both parameters (name and accounting_account_number). The description adds no additional meaning beyond the schema, so it meets the baseline but does not enhance understanding.

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 'Creates new product category' clearly specifies the action (create) and the resource (product category). It is distinct from sibling tools like 'create_product' or 'create_service_category', making the tool's purpose unambiguous.

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 versus alternatives, such as prerequisites, constraints, or when not to use it. For example, it doesn't mention whether the category must be unique or if parent categories exist.

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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