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Sundeepg98

linkedin-mcp

by Sundeepg98

linkedin_login_browser

Opens LinkedIn sign-in page and waits for manual authentication, preserving session via persistent Chrome profile. Ensures real session confirmation before proceeding.

Instructions

Open LinkedIn's sign-in page and wait for you to sign in yourself.

This server never sees, types, stores or transmits a password. It opens a browser window at linkedin.com/login; you type into that window; the persistent Chrome profile keeps the session afterwards, so this is a one-time step until LinkedIn expires it.

The window stays open until the identity endpoint confirms a real session, the window is closed, or wait_seconds runs out. A cookie appearing does not end the wait -- it only causes the endpoint to be asked again. On timeout the result is authenticated false with a reason, never an optimistic success.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wait_secondsNohow long to leave the window open for you. Default 300.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden — and it excels. It discloses that the server 'never sees, types, stores or transmits a password,' that the persistent Chrome profile retains the session, and crucially the non-obvious cookie nuance: 'A cookie appearing does not end the wait — it only causes the endpoint to be asked again.' It also states the no-optimistic-success guarantee on timeout. This prevents a common agent failure mode of assuming cookie presence means logged in.

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 front-loaded with the purpose in the first sentence, and every subsequent sentence earns its place: the password privacy guarantee, the persistent-profile behavior, the termination conditions, and the cookie/timeout nuance. Nothing is filler; the multi-paragraph length is justified by the density of non-obvious behavioral information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's interactive-browser complexity and the presence of an output schema, the description covers everything an agent needs: how the interactive flow works, the three termination conditions, the meaning of wait_seconds on timeout, and the return semantics. The one-time-step framing sets expectations correctly. Nothing essential is missing.

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

Parameters4/5

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

Schema coverage is 100% and the schema already documents wait_seconds with a default. The description adds value beyond the schema by tying the parameter to observable behavior: 'On timeout the result is authenticated false with a reason, never an optimistic success.' This connects the parameter to the wait-termination and result semantics, which is genuine value added over the schema text.

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 opens with a specific verb+resource+behavior: 'Open LinkedIn's sign-in page and wait for you to sign in yourself.' This clearly distinguishes it from siblings like linkedin_auth_status (checking status) and linkedin_session_info (session info). An agent immediately knows this tool initiates interactive login rather than inspecting or acting on the session.

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 conveys the key usage fact that this is 'a one-time step until LinkedIn expires it,' which tells the agent not to expect repeated calls. However, it does not explicitly route to alternatives such as checking linkedin_auth_status first to determine whether login is even needed. The context is clear but lacks explicit when-not/alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.