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geoffwhittington

SD Elements MCP Server

test_connection

Verify connectivity with the SD Elements API to ensure integration with the security development lifecycle platform hosted on the Model Context Protocol server.

Instructions

Test the connection to SD Elements API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The MCP tool handler for 'test_connection', decorated with @mcp.tool() for registration. It tests the API connection using api_client.test_connection() and returns a JSON result with success status, host, and message.
    @mcp.tool()
    async def test_connection(ctx: Context) -> str:
        """Test the connection to SD Elements API. Use this to verify API connectivity and credentials, not for making API calls."""
        global api_client
        if api_client is None:
            api_client = init_api_client()
        success = api_client.test_connection()
        result = {
            "connection_successful": success,
            "host": api_client.host,
            "message": "Connection successful" if success else "Connection failed"
        }
        return json.dumps(result, indent=2)
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the action without disclosing behavioral traits like what 'test' entails (e.g., ping, auth check, response validation), potential side effects, error handling, or rate limits. This is inadequate for a tool with zero annotation coverage.

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, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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 (0 parameters, no output schema) and lack of annotations, the description is minimal but incomplete. It fails to explain what the test involves, expected outcomes, or error conditions, which are crucial for an agent to use it effectively in context with sibling tools.

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 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter semantics, but this is acceptable given the lack of parameters, warranting a baseline score above minimum.

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 SD Elements API'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like 'api_request' or other connection-related operations that might exist, keeping it from a perfect 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, such as 'api_request' or other sibling tools. It lacks context about prerequisites, timing, or scenarios where testing the connection is appropriate, leaving the agent without usage direction.

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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