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wafle_coupons_list

Read-onlyIdempotent

List all coupons for a store, showing code, type, value, usage, validity, and scope. Use to audit active discounts or find a code before editing.

Instructions

List all coupons of a store. Each row: code, type, value, usage, validity dates, applies-to scope.

Use to audit active discounts or to find a code before editing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesWafle store slug, e.g. 'gamerland' or 'lensitive'.
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. The description adds value by detailing the return row fields (code, type, value, usage, validity dates, applies-to scope), which is not present in the schema or annotations. It stops short of noting pagination or caveats, but this is a simple list tool.

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 sentences, front-loaded with the core purpose, then the return format, then a usage hint. Every sentence earns its place, with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description compensates by listing the exact fields returned. With one clearly documented parameter, read-only annotations, and clear usage context, the tool is fully specified for an agent to invoke correctly.

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 coverage is 100% and the parameter description already explains the slug format and examples. The tool description only refers to 'store' without adding new details about the slug syntax or constraints, so it does not exceed the baseline.

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

Purpose5/5

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

Description states a specific verb ('List'), resource ('all coupons of a store'), and scope, distinguishing it from sibling coupon create/update/delete tools. The row content is also specified, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Use to audit active discounts or to find a code before editing' explicitly states when to use and gives context relative to editing actions. This differentiates it from write operations among sibling tools.

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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