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LinkMCP: hosted LinkedIn MCP server

Who Am I

linkedin_who_am_i
Read-onlyIdempotent

Returns information about the connected LinkedIn account: display name, public profile URL, LinkedIn URN, and which premium features are active (Sales Navigator, Recruiter). Use this to understand which LinkedIn capabilities are available before choosing search or messaging strategies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds real behavioral value by disclosing the return contents, especially the premium-feature flags (Sales Navigator, Recruiter), which determine which other tools will work — useful context beyond the annotations.

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, front-loaded with the return payload and ending with actionable guidance. No filler; every clause earns its place.

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?

With no output schema present, the description correctly carries the return-value burden and enumerates the key fields. It is complete for a no-parameter identity/capability probe, though it could note whether the premium flags can be empty when no subscription is active.

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 tool takes zero parameters, so the baseline is 4. There is nothing parameter-related to clarify.

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?

States a specific verb ('Returns') plus the resource (information about the connected LinkedIn account) and enumerates exactly what is returned: display name, profile URL, URN, and active premium features. This is unmistakably distinct from every sibling, none of which report account identity.

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?

Provides clear when-to-use guidance ('Use this to understand which LinkedIn capabilities are available before choosing search or messaging strategies'), which routes the agent correctly relative to the search/messaging siblings. It stops short of naming specific alternative tools, so it is clear context rather than explicit alternatives.

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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