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GregBaugues

Token Bowl MCP Server

by GregBaugues

health_check

Verify server status and uptime, then check Redis cache and API connectivity to confirm all dependencies are operational. Get overall health with per-component results.

Instructions

Check the health status of the MCP server and its dependencies.

Performs health checks on:

  • Server status and uptime

  • Redis cache connectivity

  • Sleeper API connectivity

  • Fantasy Nerds API connectivity (if configured)

Returns: Dict with health status for each component and overall health

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
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 the exact probe surface (server uptime, Redis, Sleeper API, Fantasy Nerds API) and importantly notes that the Fantasy Nerds check is conditional ('if configured'), which is genuine behavioral context an agent could not derive from the empty schema. It does not state whether checks are live network calls with latency or whether failures short-circuit, so it falls short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is front-loaded and the bulleted component list is scannable. The trailing 'Returns:' block is somewhat redundant given that a structured output schema exists, which is the only minor waste.

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?

With an output schema present, the description need not detail the return shape, and it correctly focuses on what is checked and the conditional dependency. Combined with the empty parameter set and simple nature of the tool, this is nearly complete; the only gap is the missing distinction from the sibling chat health check.

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 takes zero parameters, so the baseline is 4. There is nothing for the description to compensate for, and it correctly avoids inventing parameters.

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 names a specific diagnostic verb and resource ('Check the health status of the MCP server and its dependencies') and enumerates the exact components probed. It clearly separates this from the data-retrieval siblings, though it never distinguishes itself from the similarly named sibling token_bowl_chat_health_check, which an agent could easily confuse it with.

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?

Usage is only implied: an agent can infer this is a diagnostics tool to run when connectivity or failures are suspected, but there is no explicit when-to-use statement, no guidance on frequency, and no mention of the alternative token_bowl_chat_health_check. Adequate but leaves routing to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.