Skip to main content
Glama
Expert-Integrado

Conexa MCP

POST /product (Product)

create_product

Create a product or service in the Conexa system by submitting details like name, description, price, and company.

Instructions

Criação de um Item/Serviço no sistema Conexa.

Exemplo de body: { "name": "Serviço de Motoboy", "description": "Serviço de entrega de correspondências", "price": 10.9, "companyId": 3, "serviceCategoryId": 1, "costCenterId": 7, "isCustomerConsumable": false, "notificationsEmails": ["lorem.ipsun@dolor.cirius", "ipsun@dolor.cirius"], "nfseDescription": null, "receiptDescription": null }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesCorpo JSON da requisição (campos na descrição da tool)
Behavior3/5

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

Annotations provide readOnlyHint=false, destructiveHint=false, and openWorldHint=true. The description adds no additional behavioral traits beyond the example body; it does not disclose side effects, permissions, or response behavior.

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?

Two sentences plus a focused example body. No redundant information; purpose is immediately clear. The example is necessary for parameter clarity.

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

Completeness3/5

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

No output schema is provided, and the description does not explain what the tool returns (e.g., created entity ID). For a creation tool, this is a notable gap, though annotations and example provide partial context.

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?

The input schema has only a generic 'body' parameter with a description referencing the tool's description. The description provides a detailed example body with fields like name, price, companyId, etc., compensating for the schema's lack of explicit property 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 description clearly states 'Criação de um Item/Serviço no sistema Conexa', which is a specific verb (create) and resource (product/service). It distinguishes from sibling tools like create_charge or create_sale.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives (e.g., create_plan or create_sale). The example body implies usage context but lacks when-not-to-use or prerequisite information.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Expert-Integrado/conexa-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server