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Lamoda Product Card

lamoda_card
Read-onlyIdempotent

Fetch a Lamoda product card using a SKU or product URL to get price, old price, availability, sizes, and brand.

Instructions

Fetch one Lamoda product card via the anonymous GraphQL endpoint (tier 1).

Return Format

LamodaCardResponse: {status, sku, title, brand, price_rub, old_price_rub, is_available, sizes[], url, tier_used, meta}. Lamoda exposes no ratings.

Error Format

ToolError: BadRequestError when no SKU can be extracted; NotFoundError when the SKU has no product; TransportDownError on HTTP failures; ParserDriftError when the GraphQL envelope changed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sku_or_urlYesSKU (MP002XM1RMM3) or lamoda.ru product URL

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuNo
urlNo
_metaNo
brandNo
sizesNo
titleNo
statusNo
price_rubNo
tier_usedNo
is_availableNo
old_price_rubNo
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds value by revealing the anonymous endpoint (no auth needed), the tier 1 designation, that Lamoda exposes no ratings, and enumerating specific error types, which helps agents anticipate failures.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with Return Format and Error Format sections, using concise bullet-like notation. It includes essential details without extensive prose, though the return field listing may be somewhat redundant if an output schema is available.

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 single simple parameter and strong annotations, the description covers the essential behavior, return shape, and error cases. It is complete enough for an agent to invoke the tool correctly, though it leaves terms like 'tier_used' and 'meta' unexplained.

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?

The schema fully documents the single parameter with an example format. The description's error format mentions 'when no SKU can be extracted', which reinforces that the input must contain a SKU, but adds little beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Fetch one Lamoda product card via the anonymous GraphQL endpoint (tier 1)', providing a specific verb and resource. It clarifies it fetches a single card, distinguishing it from search tools like lamoda_search, though it does not explicitly name alternatives.

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 does not state explicit when-to-use vs alternatives. The context of requiring a SKU or URL is implied by the parameter, and the 'one product card' phrasing suggests not for searching, but this is left to inference.

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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