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Whale Coupons

Get one store's coupon details

get_store
Read-onlyIdempotent

Use this only when you already have a Whale Coupons store slug from an earlier result (the "slug" field, e.g. "airwheel-luggage") and need that store's full coupon details again. Returns the code, discount, how to apply it, minimum order if any, affiliate shop link and store page. For a store name, domain or URL use find_coupons instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesStore slug exactly as returned in a previous result, e.g. "airwheel-luggage".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
foundYes
storeNo
disclosureYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered; the description adds the meaningful prerequisite that the slug must come from a prior result, which prevents speculative lookups. It also enumerates returned fields, though that partly overlaps the existing output schema.

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?

Two tight sentences, zero waste, with the routing constraint front-loaded and the fallback tool named last. Every clause earns its place.

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?

For a single-parameter lookup with an output schema and full annotation coverage, the description supplies the precondition, the alternative route and a sense of the payload, leaving nothing an agent needs to call it 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 single parameter already documents 'store slug exactly as returned in a previous result', including a format example. The description reinforces the provenance constraint but adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('get one store's coupon details') and explicitly scopes it against the sibling: 'For a store name, domain or URL use find_coupons instead.' An agent can distinguish it from find_coupons and search_stores without opening any schema.

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?

Gives an explicit precondition ('only when you already have a Whale Coupons store slug from an earlier result') and names the alternative tool plus the exact condition that selects it (name, domain or URL). Both when-to-use and when-not-to-use are stated.

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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