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get_profitability_review

Retrieve per-ASIN profitability analysis including fees, returns, and ad spend to evaluate product financial performance.

Instructions

[Finance / read] Per-ASIN profitability across fees, returns, and ad spend. Hosted endpoint only; this local stdio server is an introspection stub.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNoOptional start date for time-range reads, YYYY-MM-DD.
end_dateNoOptional end date for time-range reads, YYYY-MM-DD.
asinNoOptional Amazon ASIN filter when relevant.
skuNoOptional merchant SKU filter when relevant.
marketplace_idNoOptional Amazon marketplace identifier.
filtersNoOptional lightweight filters supported by the hosted tool.
limitNoOptional row limit for hosted reads.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the tool is read-only and notes the local server is an introspection stub, which sets expectations. However, it does not mention authentication requirements, rate limits, or whether outputs are real-time or cached, leaving gaps for an agent.

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 concise sentences with clear front-loading of purpose. Every sentence adds value: the first defines the tool, the second clarifies its environment. No wasted text.

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?

The tool has 7 parameters (all optional), no output schema, and no annotations. The description covers the purpose and stub nature but does not explain what the output looks like, how filtering works, or whether pagination is supported. A more complete description would outline return structure or example usage.

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%, so the baseline is 3. The description does not add additional meaning beyond the schema descriptions; it only restates the tool's purpose. No parameter relationships or examples are provided.

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 clearly states the tool provides per-ASIN profitability across fees, returns, and ad spend, using a specific verb ('get') and resource ('profitability review'). It distinguishes itself from sibling tools like get_financial_events or get_settlement_economics by focusing on aggregated profitability metrics.

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

Usage Guidelines3/5

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

The description notes the tool is a read operation and local stub, implying limited functionality, but does not explicitly state when to use this tool versus alternatives such as get_settlement_economics or get_financial_events. Usage context is implied but not contrasted with siblings.

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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