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OnStartups

Agent.ai MCP Server

by OnStartups

content_creator_generate_article_action

Generate a publish-ready article with SEO metadata, internal links, featured image prompt, and publishing checklist. Streamline content creation by providing all elements needed for immediate publication.

Instructions

Generates a complete, publish-ready article with SEO metadata, internal linking suggestions, featured image prompt, and a publishing checklist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
target_keywordNo
content_typeYesblog_post
secondary_keywordsNo
brief_notesNoAny specific points, data, or angles to include in the article.
optimization_focusNobalanced
brand_voiceNo
output_variable_nameYesVariable name for the result.article
Behavior3/5

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

With no annotations, the description carries full burden. It discloses the output components (SEO metadata, linking suggestions, etc.) but does not mention behavioral traits like requirements, side effects, or limitations. It is somewhat transparent but lacks depth.

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 sentence that is concise and front-loaded with the primary action. It lists key output components without waste. However, it could be slightly more structured with separate clauses.

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?

Given the complexity (8 parameters, no output schema, no annotations), the description is too brief. It does not cover important details like output format, enum meanings, or how parameters affect output. Incomplete for agent decision-making.

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 only 25%, and the description does not explain any parameters beyond the overall purpose. It fails to compensate for low schema coverage, providing no additional meaning for parameters like topic, target_keyword, content_type, etc.

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 generates a complete, publish-ready article with specific components (SEO metadata, linking suggestions, image prompt, checklist). The verb 'generates' and resource 'article' are specific, and it distinguishes from siblings like content_planner and social_post_creator.

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?

No guidance on when to use this tool versus alternatives. The description does not mention prerequisites, context, or when not to use it. It simply describes the output without any usage context.

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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