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hotmart_sales_users

Read-onlyIdempotent

Leitura de vendas na Hotmart (Payments API). Ações:

  • history: histórico de transações (filtros: start_date/end_date YYYY-MM-DD, product_id, transaction_status, buyer_email, max_results, page_token).

  • summary: totais agregados de vendas no período.

  • users: participantes das vendas (compradores, afiliados, coprodutores).

  • commissions: comissões por venda (você como produtor/coprodutor/afiliado).

  • price_details: detalhes de preço/taxas por venda. Retorna os dados crus da Hotmart (items + page_info de paginação).

[Flattened action: users]

Bulk support: accepts product_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
end_dateNo
page_tokenNo
product_idNo
start_dateNo
buyer_emailNo
max_resultsNo
product_idsNo
transaction_statusNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds that it returns raw data with pagination (items + page_info) and supports bulk execution via product_ids, providing useful behavioral context beyond annotations.

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 somewhat verbose with a list of actions that are not all relevant due to the flattened action, and includes redundant information. Could be more concise and better structured.

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 only minimally describes the return format as 'raw data with items and page_info.' More detail on the output structure would improve completeness, especially given the number of parameters.

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?

With 0% schema description coverage, the description adds meaning by listing filters (start_date/end_date, product_id, etc.) and specifying date format (YYYY-MM-DD). It also explains the product_ids array for bulk usage, though the account parameter remains unexplained.

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 it performs 'Leitura de vendas' (reading sales) specifically for users, as indicated by the flattened action 'users'. This distinguishes it from sibling tools like hotmart_sales_commissions, hotmart_sales_history, etc., which cover other actions.

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?

The description lists parameters but does not explicitly state when to use this tool versus alternatives. It implies use for getting participants but lacks explicit when-not-to-use instructions.

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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