Skip to main content
Glama
Dev-Anandhan

LinkedIn MCP Server

by Dev-Anandhan

share_post

Share text and optional images as a new post on your LinkedIn feed.

Instructions

Create a new post on the user's LinkedIn feed.

Args: content: The text content of the post. image_path: Optional absolute file path to an image (jpg, png, gif) to attach to the post.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
image_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions 'Create' implying mutation but lacks details on authentication needs, rate limits, idempotency, or what happens upon success. The output schema exists but is not described.

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 concise with a clear purpose statement followed by an Args list. However, it could be more structured (e.g., separate sections for notes) without losing brevity.

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 simple post tool with two parameters and an output schema, the description covers basics but misses important context like login requirement and behavioral constraints. It is minimally complete but not robust.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by clarifying 'content' as text content and 'image_path' as an optional absolute file path with specific image formats. This adds crucial meaning beyond the schema's type and default.

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 'Create a new post on the user's LinkedIn feed', providing a specific verb ('Create') and resource ('post') with context ('LinkedIn feed'). This effectively distinguishes it from sibling tools like get_company_posts or check_session_status.

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 offers no guidance on when to use this tool versus alternatives, such as prerequisites (e.g., being logged in) or scenarios where other tools like check_session_status might be relevant. Users must infer from sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Dev-Anandhan/LinkedIn-MCP-server-Dev-Anandhan_-'

If you have feedback or need assistance with the MCP directory API, please join our Discord server