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Pure Report — Neutral News

Get article

get_article
Read-only

Fetch one article by id: neutral title + short summary with key facts (null for older articles), source_url for the full story, a bias_score for the ORIGINAL source (not the summary), source, extracted entities, and the events it belongs to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
article_idYesNumeric article id (from search_news results).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
urlYes
titleNo
eventsNo
contentNo
summaryNo
entitiesNo
bias_scoreNo
source_urlNo
source_nameNo
published_atNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / events
      Added value: +{
      +  "type": "array"
      +}
    • removedOutput schema / properties / narratives
      Removed value: -{
      -  "type": "array"
      -}
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "bias_score": {
      +      "type": [
      +        "number",
      +        "null"
      +      ]
      +    },
      +    "content": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "entities": {
      +      "type": [
      +        "object",
      +        "array",
      +        "null"
      +      ]
      +    },
      +    "id": {
      +      "type": "integer"
      +    },
      +    "narratives": {
      +      "type": "array"
      +    },
      +    "published_at": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "source_name": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "source_url": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "summary": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "title": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "url": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "id",
      +    "url"
      +  ],
      +  "type": "object"
      +}
  3. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered, and the description adds real behavioral context: summary may be null for older articles, and bias_score applies to the ORIGINAL source rather than the summary. That null-handling and field-scoping detail is genuinely useful and not derivable from structured fields. It stops short of noting any pagination/rate/error behavior.

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?

A single front-loaded sentence: the core action comes first, followed by a compact enumeration of returned fields. Dense but every clause carries information; only the parenthetical about the id source borders on redundancy with the schema.

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?

For a one-parameter read tool with an output schema, the definition is nearly complete: it covers the fetch action, the id source, and noteworthy payload quirks (null summaries, bias_score scope). The only gap is the absence of explicit routing guidance relative to sibling tools.

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?

There is only one parameter and schema description coverage is 100%, so the schema already documents article_id and its provenance ('from search_news results'). The description restates the id-based lookup without adding format or edge-case guidance, making the baseline 3 appropriate.

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?

States a specific verb and resource ('Fetch one article by id') and then enumerates the concrete payload (title, summary, source_url, bias_score, source, entities, events), so an agent knows exactly what it gets back. That distinguishes it from search_news (list/search) and get_event (event lookup) without opening either schema.

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 only implied: 'by id' plus the schema note '(from search_news results)' hints at the search-then-fetch workflow, but the description never says when to call this instead of get_event or search_news. No exclusions or prerequisites are stated.

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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