Skip to main content
Glama
joaovaleri

linkedin-mcp

by joaovaleri

linkedin_connect_with_person

Send a LinkedIn connection request or accept a pending invite. Preview the action first, then confirm to execute.

Instructions

Send a LinkedIn connection request to a person, or accept their pending invite if they already sent you one. This affects a real third party — call once with confirm omitted/false to preview, then again with confirm: true to actually send/accept it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional personal note to include with the invitation
confirmNoMust be true to actually send the request; omit/false to preview only
profileSlugOrUrlYesProfile slug or full URL of the person to connect with
Behavior4/5

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

With no annotations, the description carries full burden. It discloses that the tool affects a real third party and can both send and accept invites, and it advises a safe invocation pattern. It does not cover authentication or rate limits, but the core behavioral traits are adequately conveyed.

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 extremely concise: two sentences. The first sentence states the core purpose, and the second provides critical usage guidance. No superfluous information.

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 tool with 3 parameters and no output schema, the description covers the essential behavioral aspects (purpose, preview-then-confirm). It does not discuss error states or return values, but given the low complexity and the schema's parameter coverage, it is sufficiently complete.

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 description coverage is 100%, so the baseline is 3. The description does not add any additional meaning beyond what the schema already provides for the three parameters.

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's purpose: sending a LinkedIn connection request or accepting a pending invite. It specifies the action (connect) and the resource (person), and it distinguishes itself from sibling tools (none of which handle connection requests).

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

Usage Guidelines4/5

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

The description provides a specific two-step usage pattern (preview then confirm) to avoid unintended actions. While it doesn't list when not to use or alternatives, the sibling tools do not include a similar function, so usage context is clear.

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/joaovaleri/linkedin-mcp'

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