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jeonghwanko

coffee-price-mcp

by jeonghwanko

search_coffee_deals

Search and filter coffee deals by brand, provider, benefit type, or keyword. Returns effective prices for each offer.

Instructions

커피 혜택 검색/필터 (브랜드·통신사/카드사·유형·키워드·오늘만). 각 혜택의 체감가를 함께 반환한다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo제목/요약 텍스트 검색어
brandNo브랜드 slug (예: starbucks)
providerNo통신사/카드사 (예: SKT, 현대카드) — 해당 제휴 혜택만
benefitTypeNo혜택 유형
todayOnlyNotrue면 오늘 받을 수 있는 통신사·카드사 할인만
limitNo반환 개수 (기본 20)
Behavior2/5

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

No annotations exist, so the description carries full burden. It does not disclose read-only behavior, rate limits, or any side effects. The description only states what the tool does, not behavioral traits.

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 concise sentences that front-load the purpose and key filtering dimensions. No unnecessary words. Every sentence adds value.

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 complexity (6 optional parameters, no output schema, no annotations), the description covers filtering scope and return value but omits details on pagination, response format, or behavior when multiple filters are combined. It is adequate but leaves gaps.

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 covers all 6 parameters with descriptions (100% coverage). The description adds the context that effective price is returned, which is not in the schema. However, it doesn't explain parameter interdependencies or constraints beyond what the schema already provides, so baseline 3 is appropriate.

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?

Description clearly states it searches/filters coffee deals by brand, carrier/credit card, type, keyword, and today-only. It specifies the return includes effective price. However, it doesn't explicitly differentiate from sibling tools (get_cheapest_coffee, verify_receipt_price), leaving room for confusion.

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 on when to use this tool vs alternatives. No prerequisites, exclusions, or context about appropriate use cases are provided.

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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