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himanshu31shr

LinkedIn MCP Server

create_link_post

Create a LinkedIn post with an article link, including text content and optional title. Control visibility to public or connections.

Instructions

Create a post with a link/article on LinkedIn

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
linkUrlYes
linkTitleNo
visibilityNoPUBLIC
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as authentication requirements, rate limits, error handling (e.g., invalid URL), or whether the link creates a preview. The schema's 'uri' format hints at validation but the description adds nothing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with 9 words, making it concise and front-loaded. However, it is overly terse and omits critical details that would justify its brevity. It strikes a poor balance between conciseness and informativeness.

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 tool's complexity (4 parameters, no output schema, many sibling tools), the description is incomplete. It does not mention required authentication, expected output (e.g., post ID), or how it differs from similar tools. The agent lacks sufficient context to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning no parameter descriptions exist. The description adds no meaning beyond the tool name, failing to explain what each parameter (text, linkUrl, linkTitle, visibility) represents or expects. This forces the agent to guess based on names alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 a link/article. This verb+resource combination is specific and distinguishes it from sibling tools like create_text_post or create_image_post. However, it could be more precise by mentioning the link article type explicitly.

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 like create_text_post or create_image_post. It lacks any context about prerequisites, scenarios, or exclusions, leaving the agent to infer usage from the name alone.

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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