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Dev-Anandhan

LinkedIn MCP Server

by Dev-Anandhan

start_login

Opens an interactive browser window for users to complete LinkedIn login authentication.

Instructions

Launch an interactive browser window to log in to LinkedIn. The user will complete the login in the pop-up window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description must carry the full behavioral burden. It discloses the interactive nature and user involvement, but lacks details on what happens after login (e.g., session management, return values, or whether the browser remains open).

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 two concise sentences with no redundant information. It is front-loaded with the action and clearly conveys the key points.

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 has no parameters and an output schema exists, the description provides essential context. It could benefit from mentioning what the output contains (e.g., session token) but overall is complete enough for a simple login tool.

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?

The input schema has 0 parameters (100% coverage), so no parameter documentation is needed. Baseline 4 is appropriate as the description adds no parameter info but does not need to.

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 explicitly states the action 'Launch an interactive browser window' and the resource 'log in to LinkedIn'. It clearly distinguishes from sibling tools like check_session_status and logout_and_cleanup by specifying the login process.

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 clearly indicates that the tool initiates an interactive login requiring user action in the pop-up. It implies this is the first step before other actions like get_person_profile, but does not explicitly mention prerequisites or when not to use it.

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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