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Get My Profile

get_my_profile
Read-only

Retrieves your LinkedIn profile by resolving the /in/me/ redirect to your actual profile URL. Allows scraping main profile and optional sections such as experience, education, and skills.

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

Behavior5/5

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

The description discloses the URL resolution behavior from /in/me/ to the real username, adding context beyond the readOnlyHint annotation. It explains a key technical detail that affects the result.

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 main purpose, followed by a key behavioral detail. Every sentence adds value with no waste.

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?

The tool is simple with no required parameters, and the output schema exists so return values are covered. The description provides the critical behavioral nuance, making it complete for an agent.

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. The description does not add additional meaning beyond what the schema provides.

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 it retrieves the authenticated user's own LinkedIn profile, with a specific verb and resource. It distinguishes from sibling tools like get_person_profile by focusing on the user's own profile.

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 implicitly indicates use for the user's own profile, but lacks explicit when-to-use or when-not-to-use guidance. However, the name and context, along with sibling tool names, make the intended usage clear.

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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