Api metrology dashboard widgets aggregation retrieve

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered without the description. The description adds nothing beyond that — not what is aggregated, over what dimensions, or how the response is shaped — so it contributes no behavioral context of its own.

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 text is a single identifier with no sentence structure and no front-loaded explanation. It is short, but that brevity comes from under-specification rather than economy — there is no information to front-load.

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?

There is no output schema and no parameters, so the description is the only channel that could explain what the aggregation returns and how to interpret it. It supplies none of that, leaving the agent unable to predict the response shape or even confirm the resource being aggregated.

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 takes zero parameters and the schema is an empty object with additionalProperties=false, so there is nothing for the description to document. Per the zero-parameter baseline this scores 4, though the absence of any guidance on implicit context (which dashboard/widget is targeted) is a mild weakness.

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 is a verbatim restatement of the tool name, so it is tautological by construction. An agent can only reverse-engineer intent from the path tokens ('metrology dashboard widgets aggregation retrieve'), guessing it returns aggregated widget data for a metrology dashboard, with no help distinguishing it from the sibling widget tools like widget_time_range_retrieve or widget_chart_type_retrieve.

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?

There is no usage guidance at all: no indication of when to call this versus the many sibling metrology dashboard/widget endpoints, no prerequisites, no context about what situation calls for aggregation data.

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