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벨로그 글 읽기

velog_get_post
Read-only

Retrieve a specific Velog blog post by username and slug or post ID, including full body content.

Instructions

벨로그 글 하나를 본문까지 읽어온다. username + url_slug 조합이나 글 id 로 지정한다. 예: https://velog.io/@velopert/react-context-tutorial → username="velopert", url_slug="react-context-tutorial"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo글 UUID. 이걸 주면 username/url_slug 는 불필요
url_slugNoURL 마지막 조각
usernameNo@ 없이. 예: "velopert"
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds value by disclosing that it fetches the full post body and explaining the two valid identifier combinations, which is useful behavioral context beyond the annotations.

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 two sentences long, front-loaded with the core function, and includes a practical example with zero filler. Every sentence contributes to understanding what the tool does and how to use it.

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

Completeness5/5

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

With a simple parameter set, full schema descriptions, and safety annotations, the description is complete. It explains the identification methods and states the tool returns the post content, making it sufficient for an agent to invoke correctly without an output schema.

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 each parameter described in Korean. The description's example ('https://velog.io/@velopert/react-context-tutorial → username="velopert", url_slug="react-context-tutorial"') adds meaningful context by showing how parameters map to a real URL, and it reinforces the id-optional relationship already present in the schema.

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 single Velog post including its full body, using a specific verb ('읽어온다') and resource ('벨로그 글'). It distinguishes itself from sibling tools like list/search/trending by targeting one post, and provides a concrete URL example for identification.

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 need the full content of a specific post—and how to specify it (by id or username+url_slug). It doesn't explicitly mention alternatives or when not to use it, but the purpose is clear enough for an agent to differentiate from list/search operations.

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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