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PedroHSGuimaraes

Tienda Nube MCP Server

tiendanube_get_coupon

Retrieve complete details for a specific discount coupon by its unique ID, including discount value, type, usage statistics, validity period, and restrictions. Ideal for coupon management and promotional analysis.

Instructions

🔍 GET SPECIFIC COUPON - Retrieve complete details for a single discount coupon by its unique ID. Use this when you need comprehensive coupon information including discount value, type, usage statistics, validity period, restrictions, and performance metrics. Essential for coupon management, customer support queries, and promotional analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coupon_idYesThe unique ID of the coupon to retrieve
fieldsNoComma-separated list of fields to include in response
Behavior3/5

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

No annotations are provided, so the description must fully disclose behavior. It implies read-only (GET operation) and lists the data returned, but does not mention side effects, authentication, rate limits, or other behavioral traits. The description is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with a bolded action and emoji, followed by a concise purpose statement. The subsequent sentence listing use cases is slightly verbose but still efficient. Nearly excellent, with minor room for tightening.

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?

Given the simple nature of the tool (get by ID, optional fields) and no output schema, the description comprehensively covers what the tool returns (discount value, type, usage stats, etc.). Usage context is well-addressed, making it fully complete for an agent's selection and invocation.

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 both parameters have descriptions. The description adds context by listing examples of fields (e.g., discount value, type) but does not significantly enhance understanding beyond the schema. At high coverage, baseline is 3; slight added context keeps it at 3.

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?

The description clearly states the verb (get/retrieve) and resource (specific coupon by ID), distinguishing it from list_coupons and other siblings. The purpose is unambiguous.

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

Usage Guidelines4/5

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

The description specifies when to use the tool (e.g., for comprehensive coupon info, management, support) but does not explicitly state when not to use it or contrast with alternatives like list_coupons. The guidance is clear but lacks exclusionary detail.

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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