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HOTKER 핫커 | 한국 상품·휴대폰 성지 구매가 AI

HOTKER 계산 근거 확인

get_calculation_evidence

HOTKER TCO, 약정 반환금과 결합할인 계산식의 엔진 버전, 공식 통신사 출처와 한계를 반환합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
carrierNo
calculationTypeNoall

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are present, so the description carries the burden. It clearly signals a read-only retrieval action and discloses the output categories: engine version, official carrier sources, and limitations. It doesn't cover auth, rate limits, or errors, but for a simple getter it provides meaningful behavioral context.

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 one dense, front-loaded sentence with no filler. Every phrase contributes information about what the tool returns and for which calculation contexts.

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?

The description adequately summarizes output contents for a low-complexity getter, but there is no output schema and no annotation support. It lacks parameter usage guidance and explicit differentiation from calculation siblings, leaving an agent to infer some decisions.

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

Parameters2/5

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

Schema description coverage is 0%, and the description never mentions carrier or calculationType directly. It indirectly maps to calculationType values by naming TCO, contract refund, and combo discount, but it does not explain how to select values or the meaning of 'all', nor does it clarify carrier usage.

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 states a specific verb ('returns') and a concrete resource: engine versions, official carrier sources, and limitations for the calculation formulas. It also enumerates the covered calculation types (TCO, contract refund, combo discount), which distinguishes it from the calculate_* sibling tools.

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

Usage Guidelines3/5

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

Usage is implied: when an agent needs evidence, sources, or version info rather than performing a calculation, this is the tool. However, the description never explicitly says when to use this tool versus the calculate_* siblings, and there is no exclusions or alternative guidance.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a clearly distinct target: three separate calculation types (combo discount, contract penalty, mobile TCO), one evidence/metadata lookup, and two searches separated by domain (mobile deals vs general products). The descriptions give precise input and return scope, so an agent is unlikely to mix them up.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: calculate_*, search_*, and get_*. The objects are specific and readable, and there is no mixing of camelCase or vague verbs.

Tool Count5/5

6 tools is well-scoped for a specialized pricing and purchase-decision service. Each tool contributes a distinct capability, and the count is neither too thin nor too heavy.

Completeness5/5

The tool set covers the main user journeys for Korean mobile purchase cost analysis: calculating TCO, penalties, and combo discounts, retrieving calculation evidence, and searching verified deals/products. There are no obvious dead ends within the stated domain.

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