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LinkMCP: hosted LinkedIn MCP server

Get Connections

linkedin_get_connections
Read-onlyIdempotent

List your LinkedIn connections (1st-degree). Returns name, headline, profile URL, and public identifier for each connection. Supports cursor-based pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of connections to return per page (1–100, default 50).
cursorNoPagination cursor from a previous response. Omit for the first page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, so the safety profile is covered. The description adds value beyond them by disclosing the returned fields (name, headline, profile URL, public identifier) and that pagination is cursor-based, which an agent would otherwise not know since no output schema exists.

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?

Three short sentences, front-loaded with the core action, then return shape, then pagination. No filler and every sentence carries information.

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?

With no output schema, the description correctly compensates by listing returned fields, and it explains pagination. It does not mention auth requirements or rate limits, but for a simple read tool with full annotation coverage this is largely complete.

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%, with both limit and cursor fully documented in the schema. The description reinforces pagination behavior but adds no new syntax or constraint detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb ('List') and resource ('your LinkedIn connections'), plus the scope '1st-degree', which implicitly distinguishes it from linkedin_get_shared_connections and linkedin_search_people. It does not name those siblings explicitly, so it stays at 4 rather than 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the purpose (list your connections) but there is no explicit when-to-use guidance, no mention of when to prefer linkedin_search_people for filtering or linkedin_get_shared_connections for overlaps. Minimum viable.

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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