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Megamarket Product Card

megamarket_card
Read-onlyIdempotent

Fetch a Megamarket product card via ID or URL to get price, availability, rating, and product details in one response.

Instructions

Fetch one Megamarket product card.

Return Format

MegamarketCardResponse: {status, item_id, title, price_rub, old_price_rub, is_available, rating, rating_count, url, tier_used, meta}.

Error Format

ToolError: BadRequestError on unparseable input; NotFoundError on a missing goods id; TransportDownError on ServicePipe refusals; ParserDriftError on envelope drift.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_id_or_urlYesGoods id or megamarket.ru product URL

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
_metaNo
titleNo
ratingNo
statusNo
item_idNo
price_rubNo
tier_usedNo
is_availableNo
rating_countNo
old_price_rubNo
Behavior5/5

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

Annotations already declare read-only, idempotent, non-destructive behavior. The description goes further by specifying the exact return fields and error types (BadRequestError, NotFoundError, TransportDownError, ParserDriftError), which provides concrete behavioral expectations beyond the annotations.

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 and front-loaded with the core purpose. The return format and error format sections are clearly structured and add necessary value without redundancy.

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

Completeness5/5

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

For a simple single-fetch tool, the description is complete. It specifies the output schema, error behavior, and is supplemented by strong annotations. An agent can correctly invoke the tool and interpret results without additional context.

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 description coverage is 100% for the single parameter ('Goods id or megamarket.ru product URL'). The description adds no additional parameter semantics, so the baseline of 3 applies.

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 operation: 'Fetch one Megamarket product card.' It uses a specific verb ('Fetch') and resource ('Megamarket product card'), and the word 'one' distinguishes it from search tools. The marketplace name distinguishes it from other card tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. The description does not mention that 'megamarket_search' should be used for discovery or that an item ID/URL is required. The input schema carries this information, but the description itself omits usage context.

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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