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himanshu31shr

LinkedIn MCP Server

get_org_posts

Retrieve recent posts from a LinkedIn organization by specifying its numeric ID. Control the number of posts and pagination offset.

Instructions

Get recent posts from a LinkedIn organization

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdYesThe numeric ID of the organization
countNoNumber of posts to retrieve (1-100, default 10)
startNoPagination offset (default 0)
Behavior1/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It fails to mention any behavioral traits such as authentication requirements, rate limits, data freshness, or order of results, leaving critical gaps for an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (one short sentence) with no unnecessary words. However, it lacks structure like front-loading key information beyond the basic purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description should explain return values and pagination behavior. It does not specify what 'recent posts' entails, the sort order, or the response structure, leaving the agent underinformed.

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 the baseline is 3. The tool description adds no extra meaning beyond the schema; it does not elaborate on parameter usage or constraints.

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 action (get) and resource (recent posts) with a specific entity (LinkedIn organization), distinguishing it from sibling tools that create, delete, or comment on posts.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives (e.g., get_post_comments for comments, get_org_page_statistics for analytics). No when-not-to-use or context-specific advice.

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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