Skip to main content
Glama
pfldy2850

Naver MCP Server

by pfldy2850

search_cafe_article

Search Naver cafe articles by query and optionally control sort order, result start, and display count. Use it to find relevant community discussions and posts.

Instructions

Search cafe articles on Naver

Input Schema

NameRequiredDescriptionDefault
sortNosim
queryYes
startNo
displayNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.5

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not mention authentication needs, rate limits, pagination behavior via start/display, sort semantics, or result format.

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

Conciseness3/5

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

The single sentence is front-loaded with no filler. However, it is undersized for a four-parameter search tool, leaving critical invocation details unstated.

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

Completeness2/5

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

There is no output schema and no annotations, while schema coverage is 0%. The description omits result behavior, pagination, sorting, and parameter meaning, making it minimally adequate at best.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description mentions none of the four parameters. sort, start, and display are completely undocumented, and query is only implied by the tool name.

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?

States a specific verb ('Search') and resource ('cafe articles on Naver'), so an agent can tell it apart from generic web search. It does not explicitly differentiate itself from sibling tools like search_blog or search_news, which keeps it below 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?

The description gives no when-to-use or when-not-to-use guidance and names no alternatives. Usage is only implied by the verb 'Search'.

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