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MCP Nautobot Server

by aiopnet

test_connection

Verify connectivity to the Nautobot API for network automation and infrastructure data access.

Instructions

Test the connection to the Nautobot API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • MCP tool handler for 'test_connection': calls NautobotClient.test_connection(), formats the result with connection status, URL, and timestamp, and returns it as formatted text content.
    elif name == "test_connection":
        logger.info("Testing Nautobot API connection")
        
        # Test connection
        is_connected = await client.test_connection()
        
        result = {
            "connected": is_connected,
            "nautobot_url": client.base_url,
            "timestamp": str(asyncio.get_event_loop().time())
        }
        
        status_text = "✅ Connected" if is_connected else "❌ Connection Failed"
        
        return [
            types.TextContent(
                type="text",
                text=f"Nautobot API Connection Test: {status_text}\n\n"
                     f"```json\n{result}\n```"
            )
        ]
  • Registration of the 'test_connection' tool in the MCP server's list_tools() method, defining its name, description, and empty input schema.
    types.Tool(
        name="test_connection",
        description="Test the connection to the Nautobot API",
        inputSchema={
            "type": "object",
            "properties": {},
            "additionalProperties": False
        },
    ),
  • Core helper method in NautobotClient that tests the API connection by making a GET request to the Nautobot /status/ endpoint and returns True on success or False on failure.
    async def test_connection(self) -> bool:
        """
        Test the connection to Nautobot API.
        
        Returns:
            True if connection successful, False otherwise
        """
        try:
            await self._make_request("GET", "/status/")
            logger.info("Successfully connected to Nautobot API")
            return True
        except Exception as e:
            logger.error(f"Failed to connect to Nautobot API: {e}")
            return False
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Test') but doesn't explain what testing entails—whether it performs authentication, checks network connectivity, validates permissions, or returns specific status information. This leaves critical behavioral traits unspecified.

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, direct sentence with no wasted words. It's front-loaded with the core purpose and efficiently communicates the essential action without any structural fluff.

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 the tool's simplicity (no parameters, no output schema), the description is minimal but incomplete. It doesn't explain what 'testing' involves or what result to expect, which is crucial for a connection-testing tool with no annotations. More context on behavior or output would improve completeness.

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?

The tool has zero parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a baseline high score for not adding unnecessary information.

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?

The description clearly states the action ('Test') and target resource ('connection to the Nautobot API'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its siblings (all data retrieval tools), which are unrelated to connection testing, so it misses the highest score.

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 or in what context it should be invoked. It doesn't mention prerequisites, timing, or relationship to the sibling tools, leaving usage entirely implicit.

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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