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LinkMCP: hosted LinkedIn MCP server

Get LinkedIn Profile

linkedin_get_profile
Read-onlyIdempotent

Get a LinkedIn person profile by URL, public ID (slug), or URN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierYesLinkedIn profile URL (e.g. https://www.linkedin.com/in/john-doe), public ID / slug (e.g. "john-doe"), or URN (e.g. "urn:li:fsd_profile:ABC123").
include_main_company_detailsNoWhen true, also fetch the organization from the most recent experience entry that has a company URL. Defaults to true.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is fully covered. The description adds nothing beyond that: no note on auth/credits, rate limits, failure modes for invalid or private identifiers, or return shape.

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?

One sentence, front-loaded with the verb and resource, zero filler. Nothing in it is wasted.

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?

There is no output schema, and the description says nothing about what a profile response contains or what happens for unresolved identifiers. For a 2-param read tool with a fully documented schema it is adequate, but the return-value gap leaves it short of complete.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters are already documented with examples, including the boolean's default and behavior. The description's restatement of the identifier forms adds only marginal redundancy, which is the baseline 3 case.

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 ('Get a LinkedIn person profile') and enumerates the accepted identifier forms (URL, slug, URN). It is distinct from bulk siblings such as linkedin_bulk_get_profiles and from linkedin_get_company, though it never names them explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no routing to alternatives like linkedin_bulk_get_profiles, linkedin_search_people, or linkedin_get_connections. An agent must infer the single-profile scope from the tool name alone.

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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