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administrativetrick

Etsy MCP Server

get_shop_listings

Retrieve active product listings from an Etsy shop to browse inventory, filter results by price or date, and access detailed item information.

Instructions

Get all active listings from a specific Etsy shop.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shop_idYesThe numeric ID of the shop
limitNoNumber of results to return (1-100, default: 25)
offsetNoPagination offset (default: 0)
sort_onNoSort results by
sort_orderNoSort order
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'active listings' and implies a read operation, but fails to address critical aspects like rate limits, authentication needs, pagination behavior (beyond parameters), or what 'active' means operationally. This leaves significant gaps for a tool with 5 parameters.

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 a single, efficient sentence that front-loads the core purpose without unnecessary words. Every element ('Get all active listings from a specific Etsy shop') directly contributes to understanding the tool's function.

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?

Given 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain return values, error conditions, or behavioral constraints like rate limits. For a data retrieval tool with multiple options, more context is needed to guide effective 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 description coverage is 100%, so the input schema fully documents all 5 parameters. The description adds no additional parameter semantics beyond implying 'active' filtering, which isn't reflected in the schema. This meets the baseline for high schema coverage but doesn't enhance understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get') and resource ('all active listings from a specific Etsy shop'), making the purpose evident. However, it doesn't explicitly differentiate from siblings like 'get_trending_listings' or 'search_listings' beyond the shop-specific focus, which prevents a perfect score.

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 provides no guidance on when to use this tool versus alternatives like 'search_listings' or 'get_shop_by_name'. It lacks context about prerequisites (e.g., needing a shop ID) or exclusions, leaving the agent to infer usage from the tool name alone.

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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