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HappyMonkeyAI

article-research-mcp

get_article

Retrieve the full body of an article from dev.to or Hacker News using its source and numeric ID.

Instructions

Fetch full article body by source and numeric id (devto | hn).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYes
article_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must communicate behavioral traits. It states 'Fetch full article body' but does not disclose behavior on missing articles, rate limits, authentication, or uniqueness of article_id across sources.

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?

Single sentence of 11 words, highly concise with no redundancy. Every word contributes to the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description lacks context about what the 'full article body' entails, error handling, or any integration with sibling tools. For a tool with 2 parameters and zero parameter descriptions, this is insufficient.

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

Parameters2/5

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

Schema description coverage is 0%. The description only mentions 'source and numeric id (devto | hn)', adding minimal meaning beyond the schema types. It fails to explain valid source values or article_id constraints.

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 uses a specific verb ('Fetch') and resource ('full article body') along with the required parameters. It also lists the allowed sources in parentheses, clearly distinguishing this tool from siblings like search_articles or list_article_sources.

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 when one has a source and numeric id, but it does not provide explicit when-to-use or when-not-to-use guidance, nor does it compare to sibling tools.

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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