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⚠️ Скидки: отправить рассылку

msg_discounts_open_api_multi_confirm
Destructive

Confirm and pay for discount dispatches to send messages to customers. Finalize your bulk discount campaign.

Instructions

⚠️ ОТПРАВЛЯЕТ и ОПЛАЧИВАЕТ рассылку скидок — клиенты получат сообщения, со счёта спишутся деньги. Подтверждайте у пользователя перед вызовом!

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dispatchesNoМассив рассылок для подтверждения (из ответа multiCreate).
expiresAtNoUnix timestamp (сек), до которого истекает предложение.
dryRunNov0.7.0: если true — возвращает preview HTTP-запроса без вызова Avito API. Безопасно для просмотра, что именно будет сделано. Default: значение AVITO_MCP_DRY_RUN_DEFAULT (обычно false).
idempotencyKeyNov0.7.0: опциональный ключ для защиты от дублей. Повторный вызов с тем же ключом в течение AVITO_MCP_IDEMPOTENCY_TTL_SEC возвращает закешированный результат. Тот же ключ с другими args вернёт ошибку conflict — это безопасно по дизайну.
Behavior5/5

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

Beyond the annotations (destructiveHint=true), the description adds concrete consequences: clients receive messages and money is deducted. It also mentions the dryRun parameter for safe preview, increasing 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?

Two sentences with a clear warning symbol, front-loaded with critical information. No extra words; every sentence adds value.

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?

Despite lacking an output schema, the description covers the tool's purpose, consequences, user confirmation requirement, and references the dryRun safety feature. It sufficiently contextualizes the tool within the discount mailing workflow.

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?

All parameters have schema descriptions (100% coverage), so the description adds little beyond warnings. The schema descriptions are detailed, meeting the baseline of 3.

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 that the tool sends and pays for discount mailings, deducting money from the account. It distinguishes itself from siblings like multi_create (which likely only creates) by emphasizing the execution and payment aspect.

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 instructs to confirm with the user before calling, which is critical given the destructive nature. It does not explicitly compare with alternative tools or state when not to use, but the warning is sufficient for safe usage.

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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