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ihiteshgupta

linkedin-mcp-server

by ihiteshgupta

linkedin_create_article_post

Share articles and web content on LinkedIn with commentary, title, and description. Control visibility to public, connections, or logged-in users.

Instructions

Create a LinkedIn post with an article/link. Great for sharing blog posts, news articles, or any web content with your network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesCommentary to accompany the article
titleNoOptional title for the article preview
articleUrlYesURL of the article to share
visibilityNoPost visibility: PUBLIC (default), CONNECTIONS, or LOGGED_IN
descriptionNoOptional description for the article preview
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as default visibility (PUBLIC), authentication requirements, error handling for invalid URLs, or whether the operation is irreversible. This is a significant gap for a creation tool.

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 two sentences, front-loaded with the action, and contains no redundant information. Every sentence provides essential context.

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

Completeness3/5

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

For a creation tool with no output schema and no annotations, the description is minimal. It covers the basic purpose but omits details about return values, error behavior, or any prerequisites, leaving significant gaps for an agent to safely invoke the tool.

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%, so the baseline is 3. The description does not add any additional meaning beyond the basic parameter descriptions; it merely restates the purpose without enriching parameter understanding.

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 creates a LinkedIn post with an article/link, using specific verb and resource. It distinguishes from the sibling tool 'linkedin_create_post' by focusing on article/link sharing.

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 indicates appropriate use for sharing blog posts, news articles, or web content, implying it's not for text-only posts. However, it lacks explicit when-not-to-use or alternative naming beyond general 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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