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SZhukovWork

podrygka-mcp

by SZhukovWork

get_product

Read-onlyIdempotent

Retrieve a product's live details: discounted online price, per-store stock, delivery terms, variant options with prices, ratings, and characteristics by entering its podrygka.ru article number.

Instructions

Full live card of one article.

Online price with the kind of discount and the promotions' card rules, price per unit, online stock and store stock (city stores separate from the rest of the region), delivery terms for the city (cost only at checkout), ratings — the line rating shown on the site next to the variant's own rating computed from its own reviews — every variant with its price and stock, characteristics (country, tone, composition, usage, package dimensions and weight).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity name as the shop knows it (add ', <region>' for same-named towns). Default: env PODRYGKA_CITY or Екатеринбург
articleYespodrygka.ru article (артикул), the number in the product URL, e.g. 242804
include_storesNoStock per store of the city and the region
include_variantsNoList every shade/variant of the line with its own price and stock
include_descriptionNoAdd the product description text

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior5/5

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

The description goes well beyond the read-only/idempotent annotations by disclosing concrete behavioral details: delivery cost is only available at checkout, store stock separates city stores from the region, and ratings distinguish line-level rating from variant rating computed from its own reviews. It also notes promotion card rules and that every variant is returned with its own price and stock.

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 one-sentence overview 'Full live card of one article' is front-loaded, and the following detailed sentence is dense but relevant. It could be more scannable if split into bullets, but no clause is wasted.

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?

With annotations covering the safety profile and an output schema present, the description supplies the remaining context an agent needs: exact data categories, a stock-location nuance, a delivery-cost caveat, and a rating computation distinction. No critical operational detail appears missing.

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 coverage is 100%, and the parameter descriptions already explain city, article, include_stores, include_variants, and include_description clearly. The description adds useful output context but does not materially improve an agent's understanding of how to populate the parameters beyond what the schema already provides.

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 opening phrase 'Full live card of one article' clearly states the resource (one article) and the result (a complete live card). It doesn't explicitly contrast overlapping siblings like get_reviews or get_store_availability, but the one-article scope is enough to separate it from search_products and list_stores.

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

Usage Guidelines4/5

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

The description establishes clear context: use this tool when you need a detailed live card for a specific article, including price, stock, delivery, ratings, and characteristics. It doesn't list exclusions or directly recommend alternative tools, but the intended use case is explicit enough to guide selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.