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Sabari2005

LinkedIn MCP Server

by Sabari2005

linkedin_get_contact_info

Read-onlyIdempotent

Fetch a LinkedIn profile's contact information including email, phone, websites, Twitter, and birthday. Note: most details only appear for 1st-degree connections.

Instructions

Read a profile's contact information: email, phone, websites, Twitter and birthday. LinkedIn only reveals most of these for 1st-degree connections, so expect sparse results otherwise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierNoWhose profile: "me" (default) for the signed-in user, or a public identifier ("jane-doe-123"), a full profile URL, or a profile URN.
Behavior4/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior. The description adds meaningful context beyond annotations by noting that LinkedIn only reveals most contact info for 1st-degree connections, so results may be sparse. This is a useful behavioral insight not captured in the annotations.

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 two sentences long, front-loaded with the primary purpose, and followed by a relevant limitation. Every sentence earns its place with no wasted words.

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?

For a simple read tool with one optional parameter, the description completely covers what the tool does, what data it returns (enumerated fields), and the key limitation affecting results. Annotations and schema fill any remaining gaps, and no output schema is needed given the clear field list.

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?

The input schema already fully describes the only parameter 'identifier' with a clear description, so schema coverage is 100%. The tool description adds no additional parameter-specific semantics, making the baseline score of 3 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's function: 'Read a profile's contact information' and enumerates specific fields (email, phone, websites, Twitter, birthday). This distinguishes it from sibling tools like get_profile or get_connections, which focus on other aspects of a 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 provides clear context on when to use this tool (to retrieve contact info) and a key caveat (1st-degree connections only). However, it does not explicitly name alternative tools or state when not to use it, so it stops short of a 5.

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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