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Iridium: LinkedIn MCP Server

connect_linkedin_credentials

Connect Linkedin Credentials

Connect LinkedIn via username and password. Creates a fresh Unipile-managed session. It does NOT touch your existing browser session, so your LinkedIn tab stays logged in.

If LinkedIn requires 2FA, returns checkpoint=True with an account_id. Follow up with connect_linkedin_checkpoint to complete the flow.

Responses:

200: Successful Response (Success Response) Content-Type: application/json

Input Schema

NameRequiredDescriptionDefault
countryNo
passwordYes
usernameYes

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose meaningful behavior: the session is Unipile-managed and the existing browser session is untouched, and the 2FA outcome shape is described. Still missing for a credential-handling mutation: how the password is stored/transmitted, whether an existing connection is overwritten, and what happens on invalid credentials.

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 core content is front-loaded and each sentence adds information — mechanism, non-interference with the browser session, then the 2FA branch. The trailing '### Responses: 200 Successful Response / Content-Type: application/json' block is auto-generated filler that contributes nothing.

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

Completeness3/5

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

No output schema and no annotations, so the description must cover return shape; it describes the checkpoint=True branch but not the plain success payload beyond the boilerplate 200 line. Combined with the undocumented country parameter, an agent can start the call but cannot fully predict the result.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate, and it only partly does: username and password appear in the prose but get no format guidance (email vs handle, app password vs 2FA-wrapped). The third parameter, country, is never mentioned and is entirely undocumented — a notable gap since it likely affects session/geo behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Connect LinkedIn via username and password') plus the mechanism ('Creates a fresh Unipile-managed session'), which implicitly distinguishes it from the credential-free siblings connect_linkedin_url and connect_linkedin_li_at. It does not name those siblings explicitly, so differentiation is inferable rather than stated.

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 2FA branch is handled well: 'If LinkedIn requires 2FA, returns checkpoint=True with an account_id. Follow up with connect_linkedin_checkpoint.' That is a real when-to-use-next rule. However, nothing says when to choose this over connect_linkedin_li_at or connect_linkedin_url, or what to do if an account is already connected.

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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