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hotmart_event_participants_list

Retrieves a list of participants for a Hotmart event, supporting filters by email, ticket status, check-in status, and pagination.

Instructions

Event Participants. Example: hotmart_event_participants_list(event_id=12345, max_results=10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idYesEvent ID
max_resultsNoMax results per page
page_tokenNoPagination token for the next page
buyer_emailNoBuyer email
participant_emailNoEmail do participante
last_updateNoÚltima atualização. Unix timestamp in **milliseconds** (not seconds, not ISO). Ex: `1730419200000` = 2024-11-01 00:00 UTC. Python: `int(datetime(2024,11,1).timestamp() * 1000)`.
id_lotNoID do lote
ticket_statusNoStatus do ingresso.
ticket_typeNoTipo do ingresso. Allowed values: 'PAID', 'FREE', 'ALL'
checkin_statusNoStatus do check-in.
id_eticketNoID do e-ticket
ticket_qr_codeNoQR code do ingresso. Format: alphanumeric Hotmart code (ex: `H123A4B5`, not UUID, not int)
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 present, and the description does not disclose behavioral traits such as read-only nature, pagination behavior, authentication requirements, or side effects. The brief description leaves the agent uninformed about important operational details.

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

Conciseness4/5

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

The description is very concise with one sentence and an example. It is front-loaded with the resource name. However, it could be more structured by including a clear purpose statement.

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 the high number of parameters (13) and the existence of an output schema, the description provides no context about return values, pagination logic, or how parameters interact. The agent lacks sufficient information to use the tool effectively.

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?

The input schema provides descriptions for all 13 parameters (100% coverage), so the description does not need to add much. However, the description only includes an example call and does not add meaning beyond the schema, which is adequate given the high schema coverage.

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 'Event Participants' and the example call clearly indicate the tool lists participants for a given event. The tool name includes 'list', so the purpose is clear, though the description lacks an explicit verb like 'List'.

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 is provided on when to use this tool versus alternatives like 'hotmart_sales_participants_list' or 'hotmart_subscriptions_list'. There is no differentiation of use cases.

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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