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bartest5

MCP Server for LinkedIn

by bartest5

Connect With Person

connect_with_person
Destructive

Send a LinkedIn connection request or accept an incoming one, with an optional personalized note.

Instructions

Send a LinkedIn connection request or accept an incoming one.

The tool is annotated with destructiveHint so MCP clients will prompt for user confirmation before execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional note to include with the invitation
linkedin_usernameYesLinkedIn username (e.g., "stickerdaniel", "williamhgates")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description repeats the destructiveHint annotation without adding new behavioral context, such as what state changes occur or whether actions are reversible. It does mention the ability to accept incoming requests, which adds some clarity, but overall relies heavily on the annotation.

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 concise, with the main purpose in the first sentence and a brief note about the annotation in the second. It is appropriately sized and front-loaded.

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?

Given the tool's simplicity and the presence of an output schema, the description covers the essential purpose. It could mention any prerequisites or side effects, but the annotation handles the destructive warning.

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%, with both parameters well described in the schema itself. The description adds no additional parameter semantics beyond what the schema provides.

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 sends or accepts LinkedIn connection requests, using a specific verb and resource. This distinguishes it from sibling tools like send_message and search_people.

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 tool is for connection requests but does not provide explicit guidance on when to use it versus alternatives, nor does it mention any exclusions or prerequisites.

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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