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Pricing Optimization

pricing_optimize
Read-onlyIdempotent

Get actionable pricing recommendations for products with suggested price changes. Returns a sorted list of optimizations with current and suggested prices, change percent, and daily revenue impact.

Instructions

Filtered pricing recommendations — only products where a price change is suggested. Returns a summary with total_suggestions count and an optimizations array (product, current_price, suggested_price, change_percent, reason, daily_revenue), sorted by absolute change_percent (biggest moves first). Use this instead of pricing_analyze when you only want actionable changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idYesUUID of a connected store (returned by store_connect with action="connect" or visible in store_connect with action="list" / the store_overview resource)
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint; description adds return structure, sorting, and filtering behavior, enhancing transparency without contradiction.

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 efficient sentences: first defines purpose, second adds usage guidance and return details. No wasted words.

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?

Despite no output schema, description fully details return format, fields, and sorting. Simple input is well-covered. Complete for intended use.

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 description adds minor context about where to obtain store_id, but does not significantly enhance schema meaning.

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?

Description explicitly states it provides filtered pricing recommendations only for products with suggested changes, clearly distinguishing it from sibling pricing_analyze.

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

Usage Guidelines5/5

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

Directly instructs to use this tool instead of pricing_analyze when only actionable changes are needed, providing explicit 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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