Skip to main content
Glama
greg0r1

linkedin-mcp-server

by greg0r1

linkedin_create_company_post

Publish a post on a LinkedIn company page. Specify the company ID, post text, and visibility to share updates with your audience.

Instructions

Create and publish a post on behalf of a company page

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text content of the post (max 3000 characters)
companyIdYesThe LinkedIn company ID
visibilityNoPost visibility setting (default: PUBLIC)
Behavior2/5

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

With no annotations, the description carries the full transparency burden. It only states the core action and omits any additional behavioral context such as authentication requirements, whether the post is immediately published, what the response looks like, or side effects. This matches the gap seen in similar mutation tools.

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, concise sentence that communicates the essential purpose without any wasted words. It is front-loaded with the verb and resource, making it immediately scannable.

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?

The tool is simple and the schema thoroughly documents all parameters, but there is no output schema and no mention of return values, prerequisites, or potential limitations. The description is adequate for a basic create operation but leaves gaps for an agent to infer.

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?

The input schema already provides 100% coverage with descriptions for all three parameters. The description adds no extra parameter-specific meaning beyond the schema, so it meets the baseline but does not elevate it.

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 action (create and publish), the resource (a post), and the context (on behalf of a company page). This distinguishes it from the sibling tool linkedin_create_post, which likely targets personal posts, and from company page tools.

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 implies a clear use case: when the post should be associated with a company page rather than a personal profile. However, it does not explicitly name alternatives or state when not to use it, so it lacks explicit exclusions.

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/greg0r1/linkedin-mcp-server'

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