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Mhdd-24

@mhdd_24/linkedin-mcp

by Mhdd-24

whoami

Resolves the authenticated LinkedIn member's profile details, including member ID, display name, and email, using an OAuth access token.

Instructions

Resolve the current LinkedIn member from the OpenID Connect userinfo endpoint using an access token. Returns the member id (used as the author URN), display name, and email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accessTokenNoLinkedIn OAuth access token. Optional if LINKEDIN_ACCESS_TOKEN is set.
Behavior4/5

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

No annotations provided, so description carries full burden. It explains the source (OpenID Connect userinfo endpoint) and returned fields (member id, display name, email). Does not explicitly state read-only nature but implies no side effects.

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?

Two sentences, no fluff, front-loaded with purpose. Every word adds value.

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?

No output schema, but description lists return fields. For a simple self-info tool, this is adequately complete.

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 description adds value by clarifying the accessToken is optional if LINKEDIN_ACCESS_TOKEN is set, which is not in the schema description.

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?

Description clearly states the tool resolves the current LinkedIn member using OAuth, distinct from sibling tools (create_post, list_visibilities) which perform different actions.

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?

Description says 'using an access token' and notes optional parameter, but does not explicitly specify when to use this tool versus alternatives 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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