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hotmart_sales_participants_list

List participants of Hotmart sales transactions filtered by status, product, date, buyer, or affiliate criteria.

Instructions

Sales Participants. Example: hotmart_sales_participants_list(transaction_status='APPROVED').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transactionNoTransaction code
transaction_statusNoTransaction status.
max_resultsNoMax results per page
page_tokenNoPagination token for the next page
product_idNoProduct ID
start_dateNoStart date. Unix timestamp in **milliseconds** (not seconds, not ISO). Ex: `1730419200000` = 2024-11-01 00:00 UTC. Python: `int(datetime(2024,11,1).timestamp() * 1000)`.
end_dateNoEnd date. Unix timestamp in **milliseconds** (not seconds, not ISO). Ex: `1730419200000` = 2024-11-01 00:00 UTC. Python: `int(datetime(2024,11,1).timestamp() * 1000)`.
buyer_emailNoBuyer email
sales_sourceNoSale source
buyer_nameNoBuyer name
affiliate_nameNoNome do afiliado
commission_asNoAuthenticated user's commission role. Allowed values: 'PRODUCER', 'COPRODUCER', 'AFFILIATE'
selectNoCustom field selection in response

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the burden. It does not disclose pagination, rate limits, read-only behavior, or any side effects. The example only shows a parameter call.

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 very short (one sentence plus example), which is concise but under-specified. It could benefit from a bit more detail without being verbose.

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?

Despite high schema coverage and an output schema, the description is too vague. For 13 parameters, more context on what 'Sales Participants' entails and how results are structured is needed.

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%, so parameters are documented. The description adds an example usage which provides a common pattern, but adds no additional semantic meaning beyond the schema.

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

Purpose3/5

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

The description states it lists sales participants, but it is too brief and does not differentiate from sibling tools like hotmart_sales_history_list or hotmart_sales_summary_list. The example shows a parameter but lacks specificity.

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. The example is a usage pattern but does not provide context on selection criteria or exclusions.

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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