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LinkedIn: Get user articles

linkedin_get_user_articles
Read-onlyIdempotent

Returns a public LinkedIn member's published articles. This endpoint is not paginated — everything available is returned in a single response. Supports projection_preset, data_fields, and item_fields for payload reduction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesLinkedIn username
data_fieldsNoOptional. Add top-level data keys on top of the selected projection_preset.
item_fieldsNoOptional. Add item keys from data.orderedItems[] on top of the selected projection_preset.
projection_presetNoOptional. Defaults to "minimal". Use one of: full, minimal, identity, engagement, or content.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context beyond these: 'This endpoint is not paginated — everything available is returned in a single response.' It also mentions payload reduction options, which is useful but not strictly behavioral.

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 with zero waste. Purpose is front-loaded, followed by the key behavioral note and then the parameter support mention. No redundant 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?

For a simple read-only tool with full schema coverage and no output schema, the description covers the essential points: purpose, non-pagination, and payload reduction. It might benefit from mentioning alternatives or when to use this over linkedin_get_user_posts, but it 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%, so all parameters (username, data_fields, item_fields, projection_preset) are already documented in the schema. The description only restates that these are for payload reduction, adding no new semantics beyond the schema.

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 states 'Returns a public LinkedIn member's published articles' – a specific verb and resource that clearly distinguishes this from sibling tools like linkedin_get_user_posts. It also adds the non-pagination behavior, further clarifying scope.

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 clearly identifies the target resource (articles) and gives a usage-relevant detail (non-paginated single response). It does not explicitly name alternatives or exclusions, but the purpose is distinct enough that an agent can infer when to use it.

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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