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List published LinkedIn posts

list_posts
Read-only

Lists published LinkedIn posts with their full engagement metrics, media and metadata. Supports pagination and date filtering. Works on the personal profile by default; pass organization to target a company page (see list_organizations).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of posts to return
offsetNoNumber of posts to skip
endDateNoEnd date in ISO 8601 format
startDateNoStart date in ISO 8601 format
organizationNoLinkedIn company page to act on instead of the personal profile. Pass the page id or urn returned by list_organizations, or the exact page name. Omit to target the personal profile.

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=true and destructiveHint=false, so safety is covered. The description adds real context beyond that: the default personal-profile scope, company-page targeting via `organization`, and that pagination and date filtering are supported.

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 sentences, front-loaded with what the tool returns and followed by filtering and scope behavior. No filler; each sentence carries a distinct fact.

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 usefully names the return contents (posts with engagement metrics, media, metadata) and covers pagination, date filtering, and scope. Only a summary of return ordering or shape is missing.

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 coverage is 100% and every parameter is documented in the schema itself. The description only restates the `organization` default behavior already spelled out in the schema, so it adds little beyond the baseline.

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 and resource ('Lists published LinkedIn posts') and enumerates what comes back (engagement metrics, media, metadata). 'Published' implicitly separates it from the draft tools, but it never explicitly contrasts itself with search_posts or get_post.

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?

Explains the default scope and how to switch to a company page via `organization`, and notes pagination/date support. It does not say when to prefer this over sibling list/search tools like search_posts or get_posts_stats_summary, so usage is only partially guided.

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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