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GregBaugues

Token Bowl MCP Server

by GregBaugues

token_bowl_chat_health_check

Check the health and connectivity of the Token Bowl Chat service. Verify the API is accessible and responding, and return health status.

Instructions

Check the health and connectivity of the Token Bowl Chat service.

Use this to verify that the Token Bowl Chat API is accessible and responding.

Returns: Dict containing health status information for the Token Bowl Chat service

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
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 behavioral burden. The word 'Check' implies a read-only, non-mutating operation, and the returns note confirms it returns health status information. However, it does not disclose auth requirements, rate limits, failure modes, or side effects, leaving relevant behavioral context unstated.

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 description is short and front-loaded with the core purpose. The second sentence ('Use this to verify...') is slightly redundant with the first, and the Returns section is partly unnecessary given the output schema, but overall it remains efficient.

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 zero-parameter health check with an output schema present, the description covers purpose, usage, and return shape adequately. Since output schema exists, return details need not be elaborate. It would benefit from noting whether authentication is required, but the core information is sufficient.

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 there is no parameter semantics to explain. Per the rubric, a zero-parameter tool has a baseline of 4, and the description does not need to compensate for any parameter gaps.

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 states a specific verb+resource: 'Check the health and connectivity of the Token Bowl Chat service.' It clearly identifies the target service and the operation, making it distinguishable from most siblings. It does not explicitly differentiate itself from the generic `health_check` sibling, so it stops short of a 5.

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 gives a clear use condition: 'Use this to verify that the Token Bowl Chat API is accessible and responding.' This tells the agent when to choose this tool. It does not mention when not to use it or name any alternative, so it is not a full 5.

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