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get_promotion_by_coupon

Find promotion details using a coupon code to verify discounts and offers in Thinkific.

Instructions

Look up a promotion by coupon code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coupon_codeYesThe coupon code to look up
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it's a lookup operation, implying read-only behavior, but doesn't disclose error handling (e.g., invalid codes), permissions required, rate limits, or response format. For a tool with no annotations, this leaves significant behavioral gaps.

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 with zero waste. It's front-loaded with the core purpose 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.

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 (single parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks behavioral context and usage guidance, making it incomplete for optimal agent use without additional inference.

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%, with the parameter 'coupon_code' fully documented in the schema. The description adds no additional parameter details beyond what the schema provides, such as format examples or constraints. Baseline 3 is appropriate since the schema does the heavy lifting.

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 ('Look up') and resource ('a promotion'), specifying it's done 'by coupon code'. It distinguishes from generic 'get_promotion' by focusing on coupon-based lookup, though it doesn't explicitly contrast with other promotion-related tools like 'list_promotions' or 'get_promotion' (if that exists for other identifiers).

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?

No guidance is provided on when to use this tool versus alternatives. Sibling tools include 'get_promotion' (possibly for other lookup methods) and 'list_promotions', but the description doesn't mention these or specify prerequisites like needing a valid coupon code. Usage is implied only by the tool's name and description.

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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