test_linkedin_connection
Verify that the LinkedIn MCP Server connection is functioning properly.
Instructions
Test the LinkedIn MCP Server connection
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Verify that the LinkedIn MCP Server connection is functioning properly.
Test the LinkedIn MCP Server connection
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does not disclose behavioral traits such as what the test entails (e.g., network request, authentication check) or what the expected outcome is (e.g., success/failure message). With no annotations, this is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, short sentence that is front-loaded with the core purpose. Every word is meaningful and there is no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, no output schema, no annotations), the description is largely complete. It could be improved by mentioning the expected return value, but it is adequate for a basic connectivity test.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so schema coverage is 100%. The description adds no parameter information, but none is needed. It provides the purpose, which is sufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Test the LinkedIn MCP Server connection'. It uses a specific verb 'Test' and a clear resource, distinguishing it from sibling tools that perform actions like create, delete, or get.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 vs. alternatives. For example, it could mention it should be used before other operations to verify connectivity, but this is absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/rgthelen/linkedin-mcp-server'
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