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Dev-Anandhan

LinkedIn MCP Server

by Dev-Anandhan

diagnose_link

Check why a URL fails to generate a LinkedIn link preview. Diagnoses missing Open Graph tags, bot blocking, and other crawl issues.

Instructions

Verify if a URL is accessible by LinkedIn's crawler (bot).

This checks for missing Open Graph (OG) tags, bot blocking (WAF/Cloudflare), and other common issues that cause link preview failures on LinkedIn.

Args: url: The absolute URL to diagnose (e.g., https://example.com).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It explains what it checks but does not state side effects (e.g., network requests, read-only nature, rate limits). This lack of safety or impact detail limits transparency.

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 concise, starting with a one-sentence summary, followed by bullet points of checks, and a clear parameter definition. Every sentence adds value without redundancy.

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?

Given an output schema exists (not shown), the description covers the tool's purpose and diagnostic areas. It omits return format details but provides sufficient context for typical use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description's 'Args' section adds valuable meaning: specifies the URL format and provides an example. This compensates for the schema lacking descriptions.

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 tool verifies URL accessibility by LinkedIn's crawler, listing specific checks (OG tags, bot blocking). This verb-resource pair is distinct from sibling tools which focus on jobs, profiles, etc.

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 explicitly states the tool's purpose: diagnosing link preview failures. While it doesn't list when not to use or alternatives, the sibling tools are unrelated, making the usage context clear.

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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