Skip to main content
Glama
bartest5

MCP Server for LinkedIn

by bartest5

Get Company Posts

get_company_posts
Read-only

Retrieve recent posts from a company's LinkedIn feed by providing the company name. Monitor company activity and content directly.

Instructions

Get recent posts from a company's LinkedIn feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_nameYesLinkedIn company name (e.g., "docker", "anthropic", "microsoft")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering safety. The description adds a 'recent' scoping constraint but does not disclose recency limits, pagination, or authentication requirements. This is acceptable given the annotation coverage.

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 redundant content. It immediately conveys the tool's purpose and contains no filler.

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

Completeness4/5

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

For a one-parameter read-only tool with an output schema present, the description is nearly complete. It covers the core action and scope. Minor gaps like how 'recent' is defined or pagination behavior are not critical given the output schema and simple interface.

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 provides 100% coverage for company_name with descriptive examples. The description adds no further parameter semantics beyond what the schema already includes, so a baseline 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 clearly states the tool retrieves recent posts from a company's LinkedIn feed, using a specific verb ('get') and resource ('company's LinkedIn feed'). It distinguishes itself from sibling tools like get_company_profile and get_feed by targeting company-specific posts.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the use case (retrieving company posts) but provides no explicit guidance on when to use this tool versus alternatives or any exclusions. The agent must infer usage from the name and description alone.

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/bartest5/stickerdaniel_linkedin-mcp-server'

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