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woyaxnini

mcp-ozon-seller

by woyaxnini

Get Seller Rating History

get_seller_rating_history

Retrieve historical changes in seller rating indicators to track trends and diagnose drops. Optionally filter by specific rating keys for focused analysis.

Instructions

Get the history of seller rating (quality index) changes over time. Useful for tracking rating trends and diagnosing drops. By default returns history for all rating indicators. Optionally pass specific rating keys to narrow the result.

Available rating keys: rating_review_avg_score_total (product reviews), rating_shipment_delay_cb (shipment delays), rating_general_indicator_fbs_rfbs (overall FBS/rFBS score), rating_delivery_complaints_fbo/fbs/rfbs_sd (complaints by schema), rating_price_green/yellow/red/super (price index zones).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ratingsNoRating keys to retrieve history for. Defaults to all available indicators. Example: ["rating_general_indicator_fbs_rfbs", "rating_review_avg_score_total"]
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It explains parameter defaults and key meanings, but does not mention pagination, time range, rate limits, or return structure, which are relevant for a history tool.

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 (4-5 sentences), front-loaded with purpose, and includes a structured list of keys. Every sentence adds value without redundancy.

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

Completeness3/5

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

Given no output schema and moderate complexity, the description lacks details on the return format (e.g., time granularity, fields). It adequately covers the parameter but leaves uncertainty about the history structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 100% schema coverage, the description adds significant value by listing all rating keys with human-readable explanations (e.g., 'product reviews', 'shipment delays'), improving understanding beyond the enum values.

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 explicitly states it retrieves 'history of seller rating (quality index) changes over time', distinguishing it from get_seller_rating which likely provides current rating. The purpose is clear and specific.

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 indicates when to use ('tracking rating trends and diagnosing drops') and explains default vs. filtered behavior. It does not explicitly exclude use cases or name alternatives, but context is sufficient.

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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