Skip to main content
Glama
utsavagg2007

LinkedIn MCP Server

by utsavagg2007

create_post

Publish a LinkedIn post with text and hashtags, choosing visibility and optionally saving as draft.

Instructions

Format and publish a LinkedIn post, or save as draft.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesPost text content
hashtagsNo
visibilityNoPUBLIC
save_as_draftNo
Behavior2/5

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

No annotations are provided, so the description fully bears the burden of behavioral disclosure. It does not reveal any side effects, authentication requirements, rate limits, or what happens to existing posts. The mention of 'format' is ambiguous.

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 a single, concise sentence that front-loads the main purpose. No extraneous information, but it could benefit from slight expansion without losing efficiency.

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 lack of output schema and annotations, the description is too brief for a creation tool with 4 parameters. It omits return value, draft behavior, formatting rules, and error conditions, leaving the agent underinformed.

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

Parameters2/5

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

Schema description coverage is only 25% (only 'content' has a description). The tool description adds no parameter details, so it fails to compensate for the low coverage. Critical fields like 'visibility' and 'save_as_draft' remain unexplained.

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, either publishing or saving as draft. The verb 'create' matches the tool name, and 'format' adds context. However, it does not explicitly distinguish from sibling tools like 'draft_post' or 'format_post', but the scope is broader.

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?

No guidance is given on when to use this tool versus alternatives like 'analyze_post', 'draft_post', or 'format_post'. The description does not mention prerequisites, exclusions, or context for usage.

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/utsavagg2007/Linkedin-MCP'

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