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Get My Profile

get_my_profile
Read-only

Retrieve your own LinkedIn profile data, including optional sections like experience, education, and skills, by resolving your actual profile URL from your logged-in session.

Instructions

Get the authenticated user's own LinkedIn profile.

Navigates to /in/me/ and resolves the redirect to obtain the real username before scraping, so the url field in the result is the actual profile URL (e.g. linkedin.com/in/johndoe/) rather than /in/me/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionsNoComma-separated list of extra sections to scrape. 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" Default (None) scrapes only the main profile page.
max_scrollsNoMaximum pagination attempts per section (same as get_person_profile).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds valuable behavioral context by explaining that the tool navigates to /in/me/, follows the redirect, and returns the canonical profile URL instead of the /in/me/ placeholder.

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?

The description is front-loaded with the core purpose in the first sentence, and the second sentence adds a single high-value behavioral detail about redirect resolution. There is no filler, repetition of schema content, or tangential information.

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

Completeness5/5

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

Given the low complexity, full schema coverage, and presence of an output schema, the description provides everything needed to invoke the tool correctly. The redirect-resolution note closes the only likely source of confusion about the returned url field.

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%, and the input schema already documents sections and max_scrolls with defaults, examples, and constraints. The tool description does not add additional parameter meaning, so the baseline score of 3 is appropriate.

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?

The description clearly states the tool gets the authenticated user's own LinkedIn profile, using a specific verb and resource. It also distinguishes itself from sibling tools like get_person_profile by emphasizing 'own' profile, and adds a concrete detail about resolving /in/me/ to the real URL.

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?

The description clearly implies this tool is for the authenticated user's own profile, which differentiates it from get_person_profile. It does not explicitly name alternatives or enumerate when-not-to-use, but the context is clear enough for an agent to select it appropriately.

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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