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victor-velazquez-ai

Enterprise MCP Template

ping

Check server responsiveness and health status to verify connectivity with enterprise systems. Returns 'pong' when the server is active and reachable.

Instructions

Simple ping/pong health check. Returns 'pong' if the server is responsive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The 'ping' tool is implemented as a function decorated with @mcp.tool() in src/my_mcp_server/server.py.
    @mcp.tool()
    def ping() -> str:
        """Simple ping/pong health check. Returns 'pong' if the server is responsive."""
        return "pong"
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the return value ('pong') and the basic operation, but lacks details on failure modes, timeout behavior, authentication requirements, or side effects that would be expected for a complete behavioral profile.

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 of 11 words that immediately communicates the tool's purpose without waste. Every word earns its place.

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 has zero parameters, an output schema exists (reducing the need to document return values), and the operation is trivial, the description is adequate. It would benefit from clarifying the distinction from the 'health' sibling tool, but is otherwise complete for its complexity level.

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 input schema has zero parameters and 100% coverage. Per the rubric, zero-parameter tools receive a baseline score of 4 since no parameter explanation is required in the description.

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 this is a 'ping/pong health check' that returns 'pong' if responsive, using specific verbs and identifying the resource. However, it does not differentiate from the sibling 'health' tool, leaving ambiguity about which health-checking tool to use.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by stating it checks if 'the server is responsive,' but provides no explicit guidance on when to prefer this over the sibling 'health' tool, nor any prerequisites or conditions for use.

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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