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felipfr

LinkedIn MCP Server

by felipfr

send_connection_request

Send a personalized connection request to a LinkedIn user using their profile ID, with an optional custom message to increase acceptance.

Instructions

Send personalized connection requests to LinkedIn users

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileIdYesLinkedIn profile ID
messageNoOptional connection message
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It fails to disclose key behaviors like auth requirements, rate limits, or error conditions. The description only mentions personalization, leaving agents uninformed about side effects or constraints.

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 sentence with no filler. It is efficient but could be more informative without sacrificing conciseness.

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 no output schema and no annotations, the description is inadequate. It does not explain the response format, success/failure indicators, or common error scenarios like duplicate requests or invalid profile IDs. Sibling tools provide context but the description itself is incomplete.

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?

Schema coverage is 100%, so the description adds little beyond what the schema already provides. The term 'personalized' aligns with the optional message parameter but does not enhance understanding of parameter usage.

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 (send), the resource (connection requests), and the target (LinkedIn users). It is specific and distinguishable from sibling tools like accept_connection_request and send_message.

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 usage for initiating new connections but does not explicitly state when to use versus alternatives such as send_message for existing connections. No prerequisites or exclusions are mentioned.

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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