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houtini-ai

@houtini/contentmarketingideas

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by houtini-ai

get_article

Retrieve full article details including markdown, outline, research, and provenance for complete content analysis.

Instructions

Get full article detail including markdown, outline, research, and provenance

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
article_idYesArticle ID
Behavior3/5

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

With no annotations provided, the description carries the full burden. It does disclose the output components (markdown, outline, research, provenance) which adds value beyond the name. However, it does not explicitly state read-only nature, permissions, or potential error conditions, though the verb 'Get' implies a safe read operation.

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 a single, front-loaded sentence that efficiently conveys the tool's purpose and key output components without unnecessary words.

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 simple getter with one parameter and no output schema, the description is mostly complete, listing what the returned article includes. However, it does not explain how it relates to sibling tools such as get_article_provenance, which might cause confusion, but overall the essential content is sufficient.

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?

The input schema has one parameter with a description, and schema coverage is 100%. The description does not add any extra meaning about the article_id parameter beyond what the schema already provides, so the baseline score of 3 applies.

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 tool gets full article detail, specifying the included components (markdown, outline, research, provenance). This is a specific action and resource that naturally distinguishes it from sibling tools like get_draft or get_article_provenance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as get_draft or get_article_provenance. The description merely states what it does without indicating usage context or exclusions.

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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