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Get Person Profile

get_person_profile
Read-only

Retrieve a person's LinkedIn profile by username, with optional sections for experience, education, skills, and posts.

Instructions

Get a specific person's LinkedIn profile.

Input Schema

NameRequiredDescriptionDefault
sectionsNoComma-separated list of extra sections to read. The main profile page is always included. Available sections: experience, education, interests, honors, languages, certifications, skills, projects, contact_info, posts Examples: "experience,education", "contact_info", "skills,projects", "honors,languages", "posts" Default (None) reads only the main profile page.
max_scrollsNoMaximum pagination attempts per section to load more content. On detail sections (experience, certifications, skills, etc.) this is the max number of "Show more" button clicks. On activity/posts it is the max scroll-to-bottom iterations. Applies to all sections in this call. Default (None) uses 5 for detail sections and 10 for posts. Increase when a profile has many items in a section (e.g., 30+ certifications, max_scrolls=20). To avoid slowing down other sections, request heavy sections in a separate call.
linkedin_usernameYesLinkedIn username (e.g., "stickerdaniel", "williamhgates"). A full profile URL is accepted too and is reduced to the username.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.26.2

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety and open-world profile are covered. The description adds nothing on top: no mention of authentication requirements, scraping/rate-limit behavior, latency implications of scrolling, or that it fetches a live public profile. For an open-world read tool this is a missed opportunity.

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?

A single front-loaded sentence with no filler or repetition. It is efficiently sized, though arguably so terse that 'conciseness' shades into under-specification rather than tightness.

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

Completeness2/5

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

An output schema exists, so return values need not be explained. But for a tool with three parameters, a pagination knob, and several near-neighbor tools, the description omits all routing context and any hint that heavy sections should be requested separately, leaving the agent to rediscover schema-only guidance.

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 sections and max_scrolls are thoroughly documented in the schema (including defaults, limits, and trade-off advice). The description adds no parameter meaning beyond that, which is the expected baseline of 3 when the schema carries the full load.

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 clear verb ('Get') and resource ('a specific person's LinkedIn profile'), which is enough for an agent to know it retrieves a third party's profile rather than the caller's own. However, it never names the sibling it is distinguished from (get_my_profile) or clarifies the boundary with search_people, so differentiation is left to inference.

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?

There is no when-to-use guidance, no prerequisites, and no named alternative. With siblings like get_my_profile, get_company_profile, and search_people in the same family, some routing guidance would be cheap and valuable; the description supplies none.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.