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Frihet-io

Frihet MCP Server

Create Product

create_product

Create a product in the catalog with name and unit price. Use products as references in invoices and quotes to speed data entry.

Instructions

Create a new product or service in the catalog. Requires a name and unit price. Products can be referenced when creating invoices and quotes for faster data entry. Example: name='Web Design', unitPrice=1500, taxRate=21, description='Full website redesign' / Crea un nuevo producto o servicio en el catalogo. Requiere nombre y precio unitario. Los productos se pueden usar al crear facturas y presupuestos para entrada rapida de datos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProduct/service name / Nombre del producto o servicio
unitPriceYesUnit price in EUR / Precio unitario en EUR
descriptionNoProduct description / Descripcion
taxRateNoDefault tax rate % (e.g. 21 for 21% IVA) / IVA por defecto

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
nameYes
unitPriceYes
descriptionNo
taxRateNo
createdAtNo
updatedAtNo
Behavior4/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, and the description adds that creation requires name and unit price. The example illustrates typical usage, but could mention that creating does not affect existing products. Overall, sufficient transparency.

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

Conciseness5/5

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

The description is concise, front-loaded with purpose, and includes an example. Bilingual content is not excessive. Every sentence adds value without redundancy.

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

Completeness5/5

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

Given the output schema exists (handling return values), the description adequately covers creation, required fields, and usage context. No gaps in information for an AI agent to select this tool.

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

Parameters4/5

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

Input schema covers all 4 parameters with descriptions (100% coverage). The description provides a concrete example (name='Web Design', unitPrice=1500) that adds practical understanding beyond schema definitions.

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 title and description clearly state 'Create Product' and 'Create a new product or service in the catalog.' This effectively distinguishes it from siblings like update_product and delete_product.

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

Usage Guidelines4/5

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

The description explains that products can be referenced when creating invoices and quotes, providing context for use. While it doesn't explicitly state when not to use, the purpose is clear and distinct from related tools.

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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