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etsy_get_shop_stats

Retrieve aggregated Etsy shop metrics—orders, favorers, active listings, revenue—for a specified period up to 365 days to track performance.

Instructions

Return aggregated stats (orders, favorers, active listings, revenue) for a shop over the given period.

Args: shop_id: Etsy ShopID. period: Lookback window in the form 'd', e.g. '7d', '30d', '90d'. Maximum 365 days.

Returns: JSON envelope. data is a dict with orders, favorers, active_listings, revenue_minor_units, currency_code, and the resolved date_from / date_to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shop_idYes
periodNo30d

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description bears full burden for behavioral disclosure. It describes the return format but omits any mention of side effects, error conditions, authorization requirements, or rate limits, limiting transparency.

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 with a clear structure using Args and Returns sections; every sentence adds value without redundancy.

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

Completeness4/5

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

Given two parameters and an output schema, the description adequately explains both parameters and the return structure, but lacks details on error conditions or authentication requirements.

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?

The description adds substantial meaning beyond the input schema, explaining shop_id as 'Etsy ShopID' and period as a lookback window with format '<N>d' and maximum 365 days, compensating for 0% schema coverage.

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 the verb 'Return' and the resource 'aggregated stats (orders, favorers, active listings, revenue) for a shop over a given period', and it is distinct from sibling tools that handle listings, inventory, orders, or searches.

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?

The description does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention exclusions or prerequisites, leaving the agent to infer usage solely from the purpose.

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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