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quinnjr

LinkedIn MCP Server

by quinnjr

add_linkedin_position

Add a new work position to your LinkedIn profile by providing job title, company, and start year, with optional end dates and description.

Instructions

Add a work position to your LinkedIn profile

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesJob title
companyYesCompany name
currentNoIs this your current position?
endYearNoEnd year (omit if current)
endMonthNoEnd month (1-12)
startYearYesStart year
startMonthNoStart month (1-12)
descriptionNoJob description
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only states 'Add', but does not explain side effects (e.g., whether duplicates are allowed, if it modifies existing data, or any required permissions). This is insufficient for a profile mutation tool.

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, which is concise but under-specified. It lacks crucial details that would justify its brevity; thus it does not fully earn its place.

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 8 parameters and no output schema, the description fails to explain return values, behavior on success/failure, or any constraints. It is incomplete for a tool that modifies a user's LinkedIn profile.

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 has 100% coverage with descriptions for all 8 parameters, so the schema already provides parameter meaning. The description adds no additional context beyond the schema, earning the baseline score of 3.

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 verb 'Add' and the resource 'work position' on 'LinkedIn profile', making the tool's purpose unambiguous. It easily distinguishes from sibling tools like add_linkedin_certification or update_linkedin_position.

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 provided on when to use this tool versus alternatives like update_linkedin_position. There are no prerequisites, context, or exclusions, leaving the agent without direction on appropriate usage.

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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