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Currents

by io.github.pipeworx-io
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Latest News

latest_news
Read-onlyIdempotent

Get the most recent global news articles from Currents (70k+ sources). Filter by language and category. Example: latest_news({ language: "en", category: "technology", limit: 15 })

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "limit": 15,
      "category": "technology",
      "language": "en"
    },
    "name": "latest_news"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMax number of articles to return (default 15, max 30).
_apiKeyNoOptional Currents API key (get one free at currentsapi.services). Omit to use the platform key.
categoryNoOptional category filter, e.g. "technology", "business", "world", "sports". Use list_categories to see all options.
languageNoTwo-letter language code, e.g. "en", "es", "fr", "de". Default "en".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "category": "technology",
+    "language": "en",
+    "limit": 15
+  },
+  {
+    "language": "es",
+    "limit": 20
+  }
+]
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare it as read-only, idempotent, and non-destructive. The description adds context about the data source (Currents) and that results are 'most recent' articles, which is useful. However, it does not disclose additional behavioral traits like pagination limits (beyond the max 30 in schema), rate limits, or how missing params affect results.

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 only two sentences plus an example, with no fluff. It front-loads the main purpose and includes a practical usage example. Every sentence adds value.

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?

Given the tool's simplicity (4 optional params, no output schema, annotations present), the description covers the source, filtering options, and provides an example. It mentions list_categories to see category options, which is helpful. However, it does not specify the return format or what fields are included in each article, which might be needed by an agent.

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%, with each parameter described in the schema. The description provides an example call, which illustrates parameter usage in context, but does not add significant new semantic information beyond what the schema already offers.

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 states 'Get the most recent global news articles' with a clear verb and resource, and specifies the source (Currents with 70k+ sources) and filtering by language/category. However, it does not differentiate from the sibling tool 'search_news', which might have overlapping functionality.

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?

The description implies usage for fetching current news with optional filters and provides an example call. However, it lacks explicit guidance on when to use this tool versus alternatives like 'search_news' (e.g., for historical search) and does not mention any prerequisites or constraints.

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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