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administrativetrick

Etsy MCP Server

get_trending_listings

Retrieve currently popular items on Etsy to discover trending products and identify market demand.

Instructions

Get trending listings on Etsy. Returns currently popular items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (1-100, default: 25)
offsetNoPagination offset (default: 0)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Returns currently popular items,' which implies a read-only operation, but doesn't specify details like rate limits, authentication needs, data freshness, or pagination behavior. For a tool with zero annotation coverage, this is a significant gap in 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 two concise sentences that are front-loaded with the core purpose. Every word earns its place: 'Get trending listings on Etsy' establishes the action and resource, and 'Returns currently popular items' clarifies the output. There is no wasted text or 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 the tool's low complexity (2 simple parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks context on usage guidelines, behavioral traits, and output details. Without annotations or an output schema, more completeness would be beneficial, but it meets a bare minimum for this simple tool.

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?

The input schema has 100% description coverage, with clear docs for 'limit' and 'offset' parameters. The description adds no parameter-specific information beyond what the schema provides. According to the rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description, which applies here.

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 verb 'Get' and resource 'trending listings on Etsy' with the specific scope 'currently popular items.' It distinguishes from siblings like 'search_listings' or 'get_shop_listings' by focusing on trending/popular items rather than general search or shop-specific listings. However, it doesn't explicitly contrast with all siblings (e.g., 'get_listing_details'), keeping it from a perfect 5.

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. It doesn't mention scenarios like discovering popular items versus searching for specific ones, or when to prefer this over 'search_listings' for trending content. With multiple sibling tools available, this lack of comparative context leaves usage unclear.

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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