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News Aggregator MCP Server

News Aggregator MCP Server

by AiAgentKarl
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

fetch_feed

Retrieve structured articles from any RSS or Atom feed by providing the feed URL and optional maximum article count.

Instructions

Ruft einen beliebigen RSS/Atom-Feed ab und gibt strukturierte Artikel zurück.

Args: feed_url: URL des RSS/Atom Feeds (z.B. https://techcrunch.com/feed/) max_articles: Maximale Anzahl Artikel (Standard: 10, max: 50)

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": {
      "feed_url": "<feed_url>"
    },
    "name": "fetch_feed"
  }
}

Input Schema

NameRequiredDescriptionDefault
feed_urlYes
max_articlesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the tool returns structured articles and parameter defaults, but lacks information about authentication, rate limits, error handling, or side effects like network delays.

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 plus an args list. No extraneous words, information is front-loaded with the main purpose.

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?

Given no output schema and no annotations, the description covers the tool's function and parameters but lacks details on output format, error scenarios, and usage context. It is adequate but not fully comprehensive.

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?

With 0% schema coverage, the description adds meaningful explanations for both parameters: feed_url is described as a URL with an example, and max_articles specifies default and max values, adding value beyond 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 action (fetch) and resource (RSS/Atom feed) and outcome (structured articles). It distinguishes from sibling tools like get_hackernews_story or get_news_by_category which target specific sources or categories.

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 provides no guidance on when to use this tool versus siblings. It doesn't mention conditions for choosing fetch_feed over list_feed_catalog or search_rss_feeds.

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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