Skip to main content
Glama
jeonghwanko

coffee-price-mcp

by jeonghwanko

verify_receipt_price

Compare your paid coffee price to today's lowest effective price to get a fair price verdict and see better deal suggestions.

Instructions

내가 낸 커피 가격이 적정한지 점검. 정가와 오늘 최저 체감가를 비교해 great/fair/overpaid 판정 + 더 나은 혜택을 제시한다. (영수증 제출이 아니라 가격 점검용 read-only)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandYes브랜드 slug (예: starbucks, mega)
paidPriceYes실제 결제 금액 (원)
menuNo메뉴명 (기본: 아메리카노)
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses that the tool is read-only (non-destructive) and provides a judgment and suggestions. However, it does not detail the exact output structure or potential limits, but it is sufficient for a simple check 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 very concise: two sentences clearly stating the purpose and key behavioral notes. The parenthetical read-only note is efficiently placed. No unnecessary words.

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

Completeness4/5

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

Although there is no output schema, the description gives a high-level overview of the return (judgment and better deals). For a simple tool with 3 parameters and a clear function, this is mostly adequate, though more structured output details could help the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all parameters. The tool description adds context by explaining how parameters are used in the analysis (comparing paid price to regular and lowest). It does not repeat schema details but enhances understanding of the tool's logic.

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 tool's purpose: checking if a paid coffee price is appropriate by comparing against regular and lowest prices, and providing a judgment (great/fair/overpaid) along with better deal suggestions. It distinguishes from sibling tools by explicitly stating it is for price checking, not receipt submission, and is read-only.

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 implies when to use this tool (when you have a specific paid price to verify) and what to expect (judgment and suggestions). However, it does not explicitly compare to sibling tools like `get_cheapest_coffee` or `search_coffee_deals`, leaving the agent to infer the differentiation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jeonghwanko/coffee-price-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server