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riker-t

Ramp Developer MCP Server

by riker-t

ping

Test connectivity to the Ramp Developer MCP Server to verify network communication and server availability for accessing Ramp's API documentation and schemas.

Instructions

Test connectivity to the MCP server

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The async execute method implementing the core ping tool logic, returning a confirmation message that the server is running.
    async def execute(self, arguments: Dict[str, Any]) -> List[TextContent]:
        """Execute ping tool"""
        return [
            TextContent(type="text", text="Pong! Ramp Developer MCP server is running")
        ]
  • Defines the input schema for the ping tool, which requires no parameters (empty properties).
    @property
    def input_schema(self) -> Dict[str, Any]:
        return {
            "type": "object",
            "properties": {},
        }
  • src/server.py:46-51 (registration)
    Registers the PingTool instance along with other tools in the server's tools list, making it available via list_tools and call_tool.
    tools = [
        PingTool(),
        SearchDocumentationTool(knowledge_base),
        SubmitFeedbackTool(),
        GetEndpointSchemaTool(knowledge_base)
    ]
  • Exports PingTool from the tools module, enabling import in server.py.
    from .ping import PingTool
    from .search_documentation import SearchDocumentationTool
    from .submit_feedback import SubmitFeedbackTool
    from .get_endpoint_schema import GetEndpointSchemaTool
    
    __all__ = [
        'PingTool',
        'SearchDocumentationTool',
        'SubmitFeedbackTool',
        'GetEndpointSchemaTool'
  • Property defining the tool name as 'ping', used for identification and registration.
    @property
    def name(self) -> str:
        return "ping"
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the behavioral trait of testing connectivity, which is useful context. However, it lacks details such as expected response format, potential errors, or any side effects, leaving gaps in behavioral understanding.

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 front-loads the core purpose with zero wasted words. Every part of the sentence directly contributes to understanding the tool's function, making it highly concise and well-structured.

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 the tool's simplicity (0 parameters, no output schema, no annotations), the description is mostly complete for its purpose. However, it could slightly improve by hinting at the expected outcome (e.g., success/failure response) to fully cover behavioral aspects, though this is a minor gap.

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 appropriately does not discuss parameters, earning a high baseline score for not adding unnecessary information.

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 specific action ('Test connectivity') and target resource ('to the MCP server'), distinguishing it from sibling tools like get_endpoint_schema or search_documentation. It uses precise language that directly communicates the tool's function without ambiguity.

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 implies usage context ('Test connectivity') suggesting it should be used for diagnostic or verification purposes. However, it does not explicitly state when not to use it or name specific alternatives, which prevents a perfect score despite the clear implied context.

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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