Skip to main content
Glama
moltrus

Google News MCP

by moltrus

decode_google_news_url

Convert Google News article links to their original source URLs. Processes multiple URLs concurrently, returning the original URL if decoding fails or the link isn't from Google News.

Instructions

Convert multiple Google News URLs to their actual article URLs.

Decodes Google News wrapped URLs (news.google.com/articles/...) to their original article URLs concurrently. If a URL is not a Google News URL or decoding fails, returns the original URL.

Args: urls: A list of Google News URLs to decode (e.g., ["https://news.google.com/articles/CAIiE...", ...])

Returns: Dict with "decoded_urls" list containing dicts with "original_url" and "decoded_url" fields

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: concurrent processing, fallback behavior for non-Google News URLs or failed decoding, and the specific return format. It doesn't mention rate limits, authentication needs, or error handling details, but covers the essential operational behavior.

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 perfectly structured with a clear purpose statement, behavioral details, and separate Args/Returns sections. Every sentence earns its place by providing essential information without redundancy, and it's front-loaded with the core functionality.

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?

Given the tool's moderate complexity, no annotations, 0% schema coverage, but with an output schema, the description is complete enough. It explains what the tool does, how to use it, parameter details, and behavioral characteristics. The output schema handles return value documentation, so the description appropriately focuses on usage context.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by providing detailed parameter semantics. It explains the 'urls' parameter as 'A list of Google News URLs to decode' with a concrete example format, adding crucial meaning beyond the bare 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 specific verb 'convert' and resource 'Google News URLs to their actual article URLs', with explicit scope 'multiple' and 'concurrently'. It distinguishes from sibling tools by focusing on URL decoding rather than news feed retrieval.

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 provides clear context about when to use this tool ('Convert multiple Google News URLs to their actual article URLs') and includes a fallback behavior ('If a URL is not a Google News URL or decoding fails, returns the original URL'). However, it doesn't explicitly mention when NOT to use it or compare it to specific alternatives among siblings.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/moltrus/google-news-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server