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Скидки: создать рассылку

msg_discounts_open_api_multi_create

Create a draft mass discount broadcast for multiple listings. After creation, check pricing and confirm to send.

Instructions

Создание (черновика) массовой рассылки скидок для списка объявлений. После создания — узнайте цену через msg_discounts_open_api_tariff_info, затем подтвердите через msg_discounts_open_api_multi_confirm.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdsYesID объявлений для рассылки.
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.
Behavior3/5

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

Annotations already indicate the tool is not read-only, not destructive, not idempotent, and open-world. The description adds that the tool creates a draft and mentions dryRun for safe preview. However, it does not elaborate on side effects or the nature of the draft beyond what annotations convey.

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?

The description is concise, consisting of two short sentences. The first sentence conveys the core purpose, and the second provides workflow context. No redundant information.

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

Completeness4/5

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

Given the tool's complexity (3 parameters, no output schema), the description is nearly complete: it explains the draft creation and the subsequent workflow. It lacks some error condition notes but is sufficient for an agent to use it correctly.

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 the schema already describes all parameters adequately. The description does not add significant meaning beyond the schema's descriptions, resulting in a baseline score 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 the action: creating a draft mass discount mailing for a list of ads. It distinguishes from sibling tools by outlining the subsequent steps (tariff info, confirmation), making the purpose unambiguous.

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 provides explicit workflow guidance: after creation, check price via msg_discounts_open_api_tariff_info, then confirm via msg_discounts_open_api_multi_confirm. This is a clear usage pattern, though it lacks explicit when-not-to-use scenarios.

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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