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flor3z-github

Naver Map MCP Server

navermap_get_directions

Calculates driving directions between two points using Naver Map, returning distance, duration, tolls, taxi fare, and fuel cost. Supports waypoints, route options, and vehicle parameters.

Instructions

출발지와 목적지 간의 경로를 탐색합니다. 거리, 소요시간, 통행료, 택시비, 유류비 정보를 제공합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startYes출발지 좌표 (경도,위도 형식, 예: '127.0368,37.5085')
goalYes목적지 좌표 (경도,위도 형식, 예: '126.9784,37.5666')
waypointsNo경유지 좌표 (최대 5개, '|'로 구분, 예: '127.0000,37.5000|127.0100,37.5100')
optionNo경로 옵션: trafast(실시간 빠른길), tracomfort(편한길), traoptimal(최적), traavoidtoll(무료 우선), traavoidcaronly(자동차 전용도로 회피)
cartypeNo차량 종류 (1: 소형차, 2: 중형차, 3: 대형차, 4: 중형화물차, 5: 대형화물차, 6: 특수화물차)
fueltypeNo연료 종류 (gasoline: 휘발유, highgradegasoline: 고급휘발유, diesel: 경유, lpg: LPG)
mileageNo연비 (km/L, 유류비 계산에 사용)
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the outputs but does not mention rate limits, authorization requirements, error conditions, or typical response format. Adequate but missing important 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?

Two succinct sentences that convey the core function and outputs without any wasted words. Excellent structure.

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?

Given no output schema, the description covers key return values (distance, time, tolls, taxi fare, fuel cost). However, it does not specify the response structure (e.g., JSON, segments), which would be helpful for an agent. Still reasonably complete.

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%, so the description adds no further parameter detail beyond the schema. Baseline score of 3 is appropriate.

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 it explores routes between departure and destination, and lists specific outputs (distance, time, tolls, taxi fare, fuel cost). This distinguishes it from sibling tools like geocoding or static maps.

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?

No explicit guidance on when to use this tool versus alternatives. While the sibling tools are distinct, the description does not provide context for appropriate use cases or exclusions.

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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