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tailtest_ping

Check server health by verifying the MCP server is reachable and retrieving its version.

Instructions

Health check. Returns server version and confirms the MCP server is reachable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler/dispatch logic for tailtest_ping. When the tool is called with name 'tailtest_ping', it returns a TextContent response containing the server version string.
    if name == "tailtest_ping":
        return [
            TextContent(
                type="text",
                text=f"tailtest-mcp v{__version__} reachable. V14.1 scenario_plan tool live.",
            )
        ]
  • Tool definition/schema for tailtest_ping declared in list_tools(). It has an empty inputSchema (no parameters) and a description explaining it's a health-check ping.
    Tool(
        name="tailtest_ping",
        description="Health check. Returns server version and confirms the MCP server is reachable.",
        inputSchema={
            "type": "object",
            "properties": {},
            "additionalProperties": False,
        },
    ),
  • The tool is registered as part of the list_tools() function decorated with @server.list_tools(), returning a Tool object with name 'tailtest_ping'.
    Tool(
        name="tailtest_ping",
        description="Health check. Returns server version and confirms the MCP server is reachable.",
        inputSchema={
            "type": "object",
            "properties": {},
            "additionalProperties": False,
        },
    ),
  • The __version__ constant used by the ping handler to include the version in its response.
    __version__ = "1.0.1"
Behavior4/5

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 that the tool returns server version and confirms reachability, which is sufficient for a ping operation with no side effects.

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?

Two sentences are front-loaded with 'Health check.' No wasted words; every sentence 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?

For a simple health check with no parameters and no output schema, the description provides purpose and outcome. It could mention the format of the server version, but it is largely complete.

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 properties with 100% coverage, so no parameters need explanation. The description adds no additional param info, but that is appropriate given the schema completeness.

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 it is a 'Health check' that returns server version and confirms reachability. This is a specific verb+resource, and it distinguishes from sibling tools like tailtest_classify_failures and tailtest_setup.

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 when to use (to check server reachability), but does not explicitly state when not to use or list alternatives. For a simple health check, this is adequate but lacks explicit guidance.

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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