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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 auth requirements, no rate-limit notes, no indication of what a missing/invalid identifier yields.

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?

A single sentence with zero filler, front-loaded with the action and resource. Nothing is wasted or buried.

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?

For a simple read-only getter with full annotation coverage, a 100%-documented schema, and no output schema to explain, the description is minimally adequate. It still omits sibling routing and any notion of what happens on a failed lookup.

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 the schema already documents both parameters thoroughly, including the URL/slug/URN forms and the company-details flag. The description merely restates the identifier formats already present in the schema, adding no new meaning.

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 ("Get") and resource ("LinkedIn person profile"), and the identifier forms it accepts. The word "person" distinguishes it from linkedin_get_company, but it does not explicitly route against the closest sibling, linkedin_bulk_get_profiles.

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 exclusions, and no mention of alternatives such as linkedin_bulk_get_profiles for multiple profiles or linkedin_search_people when the URL is unknown. The context is only implied by the tool name.

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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