health_check

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

The description adds behavioral context beyond the readOnly and idempotent annotations by stating what the tool checks (login and scale discovery) and what it does not return (measurements). This helps the agent predict the tool's effect and output scope, though it does not mention whether an error is raised on failed verification.

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

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

The description is a single sentence with no filler. It front-loads the action and resource, then adds the key exclusion about measurements. Every word contributes meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, non-destructive health-check tool, the description is largely sufficient. It explains the purpose and the absence of measurement returns, but it does not specify what the tool actually returns (e.g., boolean, status message). Given the simplicity of the tool, this is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, and the schema fully documents this by defining an empty properties object. The description reinforces that no input is needed, which satisfies the baseline for zero-parameter tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Verify' and names the resource: RENPHO login and scale discovery. It explicitly states that measurements are not returned, which distinguishes it clearly from the measurement-focused sibling tools.

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

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

The intended use case is clear: verify connectivity and authentication setup before taking measurements. Although it does not explicitly name alternatives or state when not to use it, the 'without returning measurements' qualifier strongly implies this is a preflight check rather than a data retrieval tool.

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