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get_variant

Retrieve product variant details by ID to access pricing, inventory, and specifications for Lemon Squeezy products.

Instructions

Get details of a specific product variant by ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
variantIdYesThe variant ID
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 states 'Get details' but doesn't clarify what details are returned, whether it's a read-only operation, if it requires authentication, or any error handling (e.g., for invalid IDs). This is inadequate for a tool that likely involves data retrieval with potential constraints.

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, clear sentence that efficiently conveys the core action without unnecessary words. It's front-loaded with the main purpose and avoids redundancy, making it easy to parse quickly.

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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'details' are returned, potential response formats, or error cases. For a data retrieval tool, this leaves significant gaps in understanding how to interpret results or handle failures.

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 description adds minimal value beyond the input schema, which has 100% coverage and clearly documents the 'variantId' parameter as a number. The description mentions 'by ID' but doesn't provide additional context like ID format or sourcing, so it meets the baseline for high schema coverage without compensating with extra insights.

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 'product variant by ID', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_product' or 'list_variants', which would require mentioning it retrieves detailed information for a single variant rather than listing or getting product-level data.

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 sibling tools like 'get_product' for product details or 'list_variants' for listing variants, nor does it specify prerequisites such as needing a variant ID from another operation. This leaves the agent without context for tool selection.

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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