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Agent.ai MCP Server

by OnStartups

get_linkedin_posts

Retrieve LinkedIn posts or articles by providing direct URLs. Get text content from specific posts for analysis or archiving.

Instructions

Retrieve LinkedIn posts or articles by their direct URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_urlsYesLinkedIn post or article URLs, comma or newline separated.
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states 'Retrieve' (read operation), but omits details like authentication requirements, rate limits, input validation, or return format.

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 a single concise sentence (10 words) that front-loads the essential information. No extraneous text.

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

Completeness3/5

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

Given the simplicity (one parameter, no output schema, no annotations), the description provides minimal but adequate context. It does not explain return values or error conditions, but for a basic retrieval tool it suffices.

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 covers the parameter fully (100% coverage). The description adds no extra meaning beyond what the schema already provides for 'post_urls'. Baseline score of 3 is 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 action (Retrieve), the resource (LinkedIn posts or articles), and the method (by direct URLs). It effectively distinguishes from sibling tools like search_linkedin_posts_by_keyword and get_linkedin_company_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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or scenarios where other tools would be more appropriate.

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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