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theYahia

@theyahia/wildberries-mcp

by theYahia

get_abc_analysis

Compute ABC analysis of products by sales revenue to identify best-sellers and slow movers.

Instructions

Compute ABC analysis of products by sales revenue (Pareto). A = products making up the top 80% of revenue, B = next 15%, C = bottom 5%. Identifies best-sellers and slow movers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateToYesEnd date (RFC3339)
dateFromYesStart date (RFC3339, e.g. 2025-01-01T00:00:00Z)
Behavior2/5

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

No annotations provided, so the description carries full burden. It does not disclose read-only/mutative nature, permissions, or rate limits. It only describes the analytical output concept, not behavioral traits like whether it runs synchronously or has side effects.

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?

Two sentences, front-loaded with action verb and resource. No extraneous content. Every sentence adds value.

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

Completeness2/5

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

No output schema exists, yet the description does not explain what the tool returns (e.g., a list of products with categories). It only conceptually defines the categories. For a reporting tool, this is incomplete.

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%: both dateFrom and dateTo have RFC3339 descriptions. The description adds no extra parameter semantics beyond what the schema provides. Baseline 3 is appropriate.

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 'Compute ABC analysis of products by sales revenue (Pareto)' and explains the categories (A=top 80%, B=next 15%, C=bottom 5%). This distinguishes it from sibling tools like list_products or get_sales.

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 on when to use this tool versus alternatives like get_statistics or get_sales. With many sibling tools, explicit when-to-use/when-not-to-use would help. The description only states what it does, not its optimal 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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