vna_calibration_apply

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. 'Save coefficients' implies a write operation, but the description does not state whether it overwrites existing calibration data, if it is reversible, or what side effects it has. The agent gets no insight into the operational impact.

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 words. It is front-loaded, stating the action immediately. It is concise, though it could afford to add a bit more detail without becoming verbose.

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?

The tool performs a calibration operation (calculating and saving coefficients), yet the description omits critical context such as prerequisites, the effect on existing calibration, or what constitutes a successful application. With no output schema and no annotations, the description is not sufficient for an agent to use the tool correctly in a workflow.

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?

With 0% schema description coverage, the description must compensate for explaining the parameters. 'host' and 'port' are not described, and the description provides no additional meaning beyond the obvious network-related names. The agent is left without guidance on what values to supply or their purpose in the calibration context.

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 a specific verb 'Apply' with the resource 'calibration' and clarifies the action with 'calculate and save coefficients'. This distinguishes it from other calibration-related tools like vna_calibration_start (which likely initiates calibration) and vna_correction_on (which enables correction). The parenthetical adds useful specificity, though the exact meaning of 'apply' could still be slightly ambiguous.

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?

No guidance is provided on when to use this tool versus alternatives like vna_calibration_start, vna_calibration_measure_standard, or vna_correction_on. There is no mention of prerequisites, ordering within the calibration workflow, or situations where this tool is preferred.

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