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set_writing_kind

Change the type of a saved writing, such as blog, notice, or email, so it uses the correct kind conventions. Provide the writing ID and new kind to update it.

Instructions

넣어 둔 글의 종류를 바꾼다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes바꿀 종류(list_writing_kinds). 「미정」 이면 종류를 비움
styleNo문체 묶음 이름. 보통은 비워 두세요(「기본」). 회사용 · 개인 블로그용처럼 따로 둘 때만 씁니다. 글 종류(블로그 · 공지 …)는 style 이 아니라 kind 로 나눕니다.기본
writing_idYes글 번호(list_my_writings 에 나오는 숫자, 예: 3 또는 0003)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description only restates the mutation implied by the name (바꾼다) and adds no context about reversibility, permissions, or effect on existing data, which is minimal value over the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence, front-loaded with the verb and resource and free of filler. It is efficient, though its extreme brevity leaves clear gaps that conciseness alone cannot offset.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. However, for a mutation tool whose description is essentially a name restatement, missing usage context leaves it only minimally 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 description coverage is 100%, so kind, style, and writing_id are all documented in the schema with usage notes (e.g., the style/kind distinction, 「미정」 clearing the kind). The description adds nothing beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb (바꾼다 = changes) and a specific resource (넣어 둔 글의 종류 = the kind of a stored writing), so an agent can distinguish it from read/list/remove siblings. It does not explicitly name or contrast a sibling, so it stops short of a 5.

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?

There is no when-to-use, prerequisite, or alternative guidance in the description. The only routing hint (use list_writing_kinds for kinds, 「미정」 to clear) lives in the parameter schema, not the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.