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AIWerk

mcp-server-smallinvoice

by AIWerk

create_product

Add a product to your catalog by entering name, price, VAT, and unit, with optional custom fields and notes.

Instructions

Creates new product

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberNoNumber
nameYesName
descriptionNoDescription
notesNoNotes
category_idNoCategory id
including_vatYesIncluding vat
vatYesVat
unit_idYesUnit id
priceYesPrice
price_purchaseNoPrice purchase
default_amountNodefault value: 1
custom_fieldsNocustom fields values
Behavior2/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, but the description adds no behavioral details beyond the verb 'Creates'. It does not explain potential side effects, idempotency, or validation rules that could help an agent understand the tool's behavior.

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

Conciseness3/5

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

The description is extremely concise (2 words) but lacks structure. While it is not verbose, it could benefit from a sentence clarifying the tool's purpose or key notes. It is adequate but minimal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (12 parameters, 5 required, no output schema), the description is severely incomplete. It does not explain what happens on success, what the response contains, or how to handle errors. An agent would be under-informed.

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 has 100% description coverage, so the schema already documents meaning for all 12 parameters. The description adds no extra parameter information, which is acceptable per guidelines when coverage is high.

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

Purpose4/5

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

The description 'Creates new product' clearly states the action and resource. It distinguishes among many sibling create tools (e.g., create_contact, create_invoice) by specifying 'product'. However, it does not elaborate on specific scope or variations.

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 on when to use this tool versus alternatives like update_product or list_products. There is no mention of prerequisites, typical use cases, or when not to use it.

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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