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Get a research article

get_article
Read-only

One research article's summary, key facts (sample hashes, active window, scale) and its indicators of compromise section as Markdown, defanged as published. Read the page at url for the full write-up.

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

NameRequiredDescriptionDefault
slugYesAn article slug from list_research_articles.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful context beyond that: the content is 'defanged as published', which tells the agent the IoCs are intentionally neutralized, and it enumerates the returned sections. It does not describe behavior for an unknown or malformed slug.

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?

Two sentences with no wasted wording; the returned payload is front-loaded and the fallback to the source URL closes the description. The parenthetical of key facts is slightly dense but each item is informative rather than filler.

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 single-parameter read tool with no output schema, the description covers what is returned, how the content is sanitized, and where to go for the full article. Only edge-case behavior (invalid slug, article not found) is unaddressed, which is minor at this complexity.

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?

Only one parameter, and schema description coverage is 100% with the slug pattern and its origin (list_research_articles) documented in the schema itself. The description adds no further meaning about the slug, so the baseline of 3 applies.

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 (get/read) and resource (one research article) and enumerates what the caller receives: summary, key facts such as sample hashes, active window and scale, plus the IoC section as Markdown. The singular 'One research article' implicitly separates it from the list_research_articles sibling, but no sibling is named explicitly.

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?

Clear context: this tool returns the summary and IoC excerpt, and 'Read the page at url for the full write-up' routes the agent elsewhere when full content is needed. The schema also points to list_research_articles as the slug source, so the workflow is discoverable. It stops short of stating exclusions or failure conditions.

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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