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bhaktatejas922

unipile-linkedin-mcp

get_profile

Retrieve a LinkedIn user's full profile data by providing their provider ID. Optionally specify sections like experience, education, or skills to get targeted information.

Instructions

Get a LinkedIn user's full profile by their provider ID.

Args: provider_id: The LinkedIn provider ID (from search results or profile URL) sections: Optional list of sections to include. Available sections: - about - experience - education - skills - certifications - languages - volunteering_experience - projects - recommendations_received - recommendations_given If not specified, returns all available sections.

Returns: Full profile data including requested sections

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
provider_idYes
sectionsNo
Behavior3/5

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

No annotations are provided, so the description bears full burden. It describes the return as 'Full profile data including requested sections' and notes that omitting sections returns all. However, it does not explicitly state that the operation is read-only or mention any authentication or error conditions.

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 well-structured with Args and Returns sections, concise, and includes all necessary details without redundancy. Every sentence adds value.

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 simplicity (2 params, no output schema), the description is fairly complete. It explains the return type and parameter details. Minor gap: it could differentiate from get_my_profile more explicitly, but overall sufficient.

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

Parameters5/5

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

The description adds significant meaning beyond the schema: it explains that provider_id comes from search results or profile URL, and it lists all available section options. Since schema description coverage is 0%, the description fully compensates.

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 purpose: 'Get a LinkedIn user's full profile by their provider ID.' It uses a specific verb ('Get') and resource ('full profile'), and distinguishes from sibling tools like get_my_profile (for own profile) and get_company_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 specifies when to use: 'by their provider ID (from search results or profile URL).' It provides context but does not explicitly exclude alternative tools like get_my_profile or search_people.

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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