Skip to main content
Glama

포트원 문서 읽기

readPortoneDoc

Retrieve content, metadata, and web URL of a PortOne documentation page using its path. Supports specifying fields and reading range.

Instructions

포트원 개별 문서의 경로를 통해 해당 포트원 문서의 내용, 메타 정보(제목, 설명, 대상 버전 등), 웹으로 접근 가능한 링크를 가져옵니다.

Note: 먼저 listPortoneDocs을 사용해 포트원 문서 목록을 확인하고, 그 중 원하는 문서의 path를 readPortoneDoc에 전달하여 내용을 확인할 수 있습니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes읽을 포트원 문서의 경로
fieldsYes받을 필드 목록
endIndexNo읽어올 범위 끝 인덱스. 미설정 시 끝까지 읽어옵니다.
startIndexNo읽어올 범위 시작 인덱스. 미설정 시 처음부터 읽어옵니다.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo문서를 웹으로 접근 가능한 링크
contentNo찾은 포트원 문서의 내용
metadataNo찾은 포트원 문서의 메타 정보
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool retrieves content, metadata, and URL, and mentions range parameters. However, it does not explicitly state it is read-only or any caveats about access or side effects.

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 with no redundant words. It is front-loaded with the main purpose followed by usage note.

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 complexity (4 params, output schema exists), the description covers the main workflow and parameter usage. It does not detail output structure or error handling, but the output schema likely accounts for that.

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 all parameters are already described in the schema. The description adds context about the workflow and endpoint, but does not add new parameter-level semantics beyond what the schema provides.

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 reads a specific PortOne document by path, returning content, metadata, and URL. It distinguishes from siblings like listPortoneDocs and regexSearchPortoneDocs.

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 explicitly advises to first use listPortoneDocs to get the path, then pass it to readPortoneDoc. This provides clear sequential guidance, though it does not mention when not to use or alternative tools.

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/portone-io/mcp-server'

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