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houtini-ai

@houtini/contentmarketingideas

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by houtini-ai

regenerate_article

Regenerate a failed or completed article by submitting its ID. Solve the problem of outdated or flawed content with a fresh draft.

Instructions

Regenerate a failed or completed article

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
article_idYesArticle ID to regenerate
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It merely states 'Regenerate a failed or completed article' without disclosing whether this overwrites the existing article, what happens to the current version, or any side effects. There is no mention of idempotency, permissions, or return behavior. This is a significant gap for a mutation-like tool.

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?

The description is a single short sentence, which is concise and front-loaded. It contains no fluff or redundant words. However, it is arguably too terse, lacking critical behavioral context, but for what it says, it is efficient. I give it a 4 because while it is not verbose, it is not fully 'appropriately sized' given the missing information.

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?

With no output schema, no annotations, and only one parameter, the description is the only source of context. It does not explain the regeneration process, what the endpoint returns, when it is appropriate to call it relative to other generation tools, or any constraints. For a tool with many siblings, this is insufficient for an agent to select and invoke it correctly.

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 schema has full coverage for the single parameter (article_id) with a description 'Article ID to regenerate'. The tool description adds no additional meaning beyond the schema, so the baseline of 3 is 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?

The description uses a specific verb ('Regenerate') and identifies the resource ('article') with a clear status qualifier ('failed or completed'). This distinguishes it from sibling tools like generate_article, which would create a new article. The purpose is immediately understandable.

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?

The description implies when to use the tool: when an article is 'failed or completed'. This provides clear context for re-running generation. However, it does not explicitly mention alternatives or exclusions, such as 'use generate_article for new articles', so it loses one point.

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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