get_user
Retrieve Etsy user details by ID to access profile information and manage interactions within the Etsy platform.
Instructions
Get an Etsy user by ID
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes | The user ID |
Retrieve Etsy user details by ID to access profile information and manage interactions within the Etsy platform.
Get an Etsy user by ID
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes | The user ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states the action without behavioral details. It doesn't disclose if this is read-only, requires permissions, has rate limits, returns partial/full user data, or error handling for invalid IDs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for a simple lookup tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is incomplete. It lacks details on return values (e.g., user fields), error cases, or integration context, leaving gaps for agent usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents the user_id parameter. The description adds no extra meaning beyond implying ID-based lookup, aligning with the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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 ('an Etsy user'), specifying it's by ID. It distinguishes from siblings like get_shop or get_me by focusing on user retrieval, though it doesn't explicitly contrast with other user-related tools like get_user_addresses.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., authentication), differentiate from get_me for current user, or specify use cases like fetching user details for transactions or reviews.
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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