Обвязка и аналоги
get_recommendationsПохожие товары и обвязка того же диаметра (фланцы, фильтры, приводы) к товару.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| product_id | Yes |
get_recommendationsПохожие товары и обвязка того же диаметра (фланцы, фильтры, приводы) к товару.
| Name | Required | Description | Default |
|---|---|---|---|
| product_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful scoping context about 'same diameter' and example accessory types, but says nothing about empty results, product-id handling, pagination, or response shape. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one compact sentence with useful parenthetical examples and no filler. It is slightly fragmentary in Russian, but it is appropriately brief for a one-parameter read-only tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity tool, the description covers the broad return content and identifies the target product. However, it omits usage-selection guidance and any output-structure detail, and there is no output schema to compensate. Adequate but with clear gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage for product_id, and the description only refers to the parameter obliquely as 'к товару' (to the product). It conveys that recommendations are anchored to a product, but it does not explain the expected format, how to obtain a valid product_id, or any constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the resource clearly: similar products and same-diameter accessories (flanges, filters, actuators) for a product. The operation is implied by the tool name 'get_recommendations' and is understandable, but the description does not explicitly differentiate it from siblings like suggest_accessories_for_cart.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives such as suggest_accessories_for_cart or search_products. The description only implies 'for a product' as the trigger, but no exclusions or decision rules are provided.
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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