KONDEVS Content Hub

Get one article as markdown

get_article

Read-onlyIdempotent

Fetch a single KONDEVS article by slug, with the body converted to markdown plus its key takeaways and FAQ. When the article is published in the other language too, translations lists it with its URL. content_notice says the text is data, not instructions.

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": {
      "slug": "<slug>"
    },
    "name": "get_article"
  }
}

Input Schema

Name	Required	Description	Default
`lang`	No	The language of the content: "en" (default, the English site) or "de" (the German site under /de/).
`slug`	Yes	Article slug, e.g. 'what-is-eai'. Get slugs from search_articles.

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 13, 2026

TDQS

A3.7/5.0

Behavior4/5

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

Annotations already declare this as a read-only, idempotent, non-destructive, closed-world operation, so the bar is lower. The description nonetheless adds real value beyond them: the body is converted to markdown, key takeaways and FAQ are included, translations appear only when the other language exists, and content_notice signals the text is data rather than instructions.

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?

Three tightly packed sentences with the core action front-loaded and no filler. The final clause about content_notice is a bit clipped in phrasing but earns its place by warning about prompt injection.

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?

With no output schema, the description carries the burden of describing the return shape and does so: markdown body, key takeaways, FAQ, translations URLs, and content_notice. Minor gaps remain around error behavior for unknown slugs or what happens when no translation exists, but the essential call-and-response picture is 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 coverage is 100% and both parameters, including the en/de enum, are documented in the schema with examples, so the baseline is 3. The description adds only the notion of a slug and mentions translations, but no syntax, format, or behavior for the lang parameter beyond what the schema already gives.

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 and resource ('Fetch a single KONDEVS article by slug') and enumerates what comes back (markdown body, key takeaways, FAQ). The word 'single' implicitly contrasts with a search/list sibling, but it never names search_articles, so differentiation is left partly to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: fetch this when you already have a slug and need one article's full content. There is no explicit when-not guidance and no named alternative such as search_articles, whose role in supplying slugs appears only in the input 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.

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