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ztemerbekov

A1 Yandex KIT MCP

Create collection

create_collection

Create a new collection in Yandex KIT by providing a title, status (ACTIVE/INACTIVE), and collection type (STATIC/DYNAMIC). For DYNAMIC collections, add a dynamic_filter to define conditions.

Instructions

Create a new collection. Required: title, status (ACTIVE|INACTIVE) and collection_type (STATIC|DYNAMIC; DYNAMIC also takes a dynamic_filter). Call get_operation_schema("CreateCollection") for the exact request shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collectionYesCollection record matching the CreateCollectionRequest schema (see get_operation_schema("CreateCollection")). Required: title, status, collection_type.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions required fields and dynamic_filter, but it does not disclose authentication needs, side effects, idempotency, or response format. For a mutating create operation, this is minimal 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?

The description is three short sentences, front-loaded with essential information and a useful pointer to get_operation_schema. There is no redundancy or filler; every sentence earns its place.

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 nested request shape, lack of annotations/output schema, and single parameter, the description is largely complete: it names all required fields, specifies allowed values, and directs the caller to get_operation_schema for the exact request shape. It omits outcome/error/response details, but the schema pointer mitigates the gap.

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 only provides a generic nested 'collection' object with a pointer to CreateCollectionRequest, but the description adds meaning by spelling out required fields and enum values (ACTIVE|INACTIVE, STATIC|DYNAMIC) and noting when dynamic_filter applies. This exceeds the schema's bare 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 clearly states the action ('Create a new collection') with the specific resource and lists required fields and types. It distinguishes itself from sibling collection tools (update_collection, delete_collection) by explicitly indicating creation.

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 description provides prerequisites (required fields) and a pointer to get_operation_schema, but it does not explicitly state when to use this tool versus alternatives like update_collection. The usage is implied by the name and context, not explicitly stated.

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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