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southleft

LinkedIn Intelligence MCP Server

by southleft

get_profile_sections

Extract LinkedIn profile sections including basic info, summary, experience, education, and skills for analysis and content creation.

Instructions

Get all editable profile sections with current content.

Returns overview of profile sections including:

  • Basic info (name, headline, location)

  • About/Summary

  • Experience count

  • Education count

  • Skills overview

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It implies a read-only operation ('Get') and specifies the scope ('all editable profile sections'), but doesn't disclose behavioral traits such as authentication requirements, rate limits, error conditions, or whether the data is real-time or cached. The description adds some context but lacks critical operational details.

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, followed by a bulleted list of returned sections. It's efficient, with no wasted words, and the structure enhances readability by clearly separating the overview from details.

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

Completeness4/5

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

Given the tool's low complexity (0 parameters, output schema exists), the description is reasonably complete. It states the purpose and outlines the return content, which aligns with the output schema. However, it could improve by addressing behavioral aspects like authentication or data freshness, especially since no annotations are provided.

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

Parameters4/5

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

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the return value. It adds value by listing the sections included in the output, which complements the output schema.

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?

The description clearly states the tool's purpose: 'Get all editable profile sections with current content.' It specifies the verb ('Get') and resource ('editable profile sections'), and lists the types of sections returned. However, it doesn't explicitly differentiate from sibling tools like 'get_my_profile' or 'get_profile', which might provide overlapping or different profile data.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_my_profile' or 'get_profile', nor does it specify contexts or prerequisites for use. The agent must infer usage from the tool name and description 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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