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TypeScript MCP Server Boilerplate

TypeScript MCP Server Boilerplate

by bjh5098
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript

geocode

Convert city names or addresses into latitude and longitude coordinates for mapping and location-based applications.

Instructions

도시 이름이나 주소를 입력받아 위도와 경도 좌표를 반환합니다.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "address": "<address>"
    },
    "name": "geocode"
  }
}

Input Schema

NameRequiredDescriptionDefault
addressYes도시 이름 또는 주소 (예: "서울", "New York", "서울시 강남구")

Output Schema

NameRequiredDescriptionDefault
contentYes위도와 경도 좌표 정보

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the basic function but lacks details on traits like rate limits, accuracy, data sources, error handling, or authentication needs. This is a significant gap for a tool with no annotation coverage.

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 a single, efficient sentence in Korean that directly states the tool's function without any wasted words. It is appropriately sized and front-loaded, making it easy to understand quickly.

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 the tool's low complexity (one parameter, no nested objects) and the presence of an output schema (which likely covers return values), the description is mostly complete. However, it lacks behavioral context like error cases or usage limitations, which slightly reduces completeness for a tool with no annotations.

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?

The schema description coverage is 100%, so the schema already documents the single parameter 'address' with examples. The description adds no additional meaning beyond what the schema provides, such as formatting details or constraints. Baseline 3 is appropriate when the schema does the heavy lifting.

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 with specific verbs and resources: '입력받아' (receives input) and '반환합니다' (returns) for '위도와 경도 좌표' (latitude and longitude coordinates). It distinguishes from siblings like calculator, generate-image, get-weather, greet, and time by focusing on geocoding rather than calculation, image generation, weather data, greeting, or time functions.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, exclusions, or specific contexts for usage. For example, it doesn't clarify if this is for single addresses only or if there are limitations compared to other geocoding services.

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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