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pushkarsingh32

semantic-pen-mcp-server

create_article

Create a new article from a topic, with customizable language, word count, article type, tone, and SEO keyword to match your content needs.

Instructions

Create a new article

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoLanguage for the article (default: English)English
wordCountNoTarget word count (default: 1000)
articleTypeNoType of article (default: Article)Article
toneOfVoiceNoTone of voice (default: Professional)Professional
targetKeywordNoTarget SEO keyword for the article (optional)
targetArticleTopicYesThe topic/title for the article
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Create a new article,' which implies a write operation, but fails to disclose side effects, authentication needs, rate limits, or what the response contains. For a mutation tool, this is a significant gap.

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 with no waste. It is concise and to the point.

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?

The tool has 6 parameters, no output schema, and no annotations. The description fails to explain return values, associations (e.g., project membership), or any caveats. While it covers the basic purpose, it is incomplete for an agent to fully understand the tool's behavior.

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?

Schema description coverage is 100%, and all parameters have meaningful descriptions with defaults. The description itself adds no parameter-level detail, but since the schema fully documents them, the baseline score 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 'Create a new article' uses a specific verb and resource, clearly indicating the action and object. It distinguishes itself from sibling tools (get_projects, get_project_articles, search_projects, get_article) as the only creation tool.

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?

The description provides no guidance on when to use this tool versus alternatives, no mention of prerequisites, context, or exclusions. It merely states the action without any situational framing.

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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