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ztemerbekov

A1 Yandex KIT MCP

Create discount

create_discount

Create a discount by specifying title, value, date range, status, and binding mode. For the exact request shape, call get_operation_schema('CreateDiscount').

Instructions

Create a new discount. Required: title, discount_value ({value, type: PERCENT|VALUE}), discount_dates ({start_date, optional end_date}), status (ACTIVE|INACTIVE) and binding_mode (ALL_VARIANTS|SELECTED_VARIANTS). Call get_operation_schema("CreateDiscount") for the exact request shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
discountYesDiscount record matching the CreateDiscountRequest schema (see get_operation_schema("CreateDiscount")). Required: title, discount_value, discount_dates, status, binding_mode.
Behavior2/5

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

No annotations are provided, so the description must disclose behaviors. It mentions required fields and points to get_operation_schema, but does not explain side effects, permissions, return value, or irreversibility. For a mutation tool, this is a notable gap.

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 two efficient sentences, front-loaded with the purpose and required fields, and ends with a helpful pointer to get_operation_schema. No wasted words.

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?

For a create operation with no annotations or output schema, the description provides the essential input requirements and points to get_operation_schema for exact shape. However, it lacks information about the response, error cases, or behavioral implications, leaving some gaps for the agent.

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?

The schema description is minimal, only naming the required fields. The tool description adds meaning by detailing the structure of discount_value, discount_dates, status, and binding_mode with their allowed values, which the schema does not provide. This goes beyond the schema description.

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 states 'Create a new discount' with a specific verb and resource, clearly distinguishing it from update_discount and other discount-related siblings.

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 tool's purpose implies when to use it (creating versus updating), but there is no explicit guidance on when not to use or alternative tools. Listing required fields gives context, but no 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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