Api metrology dashboards cascade info retrieve

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered structurally. The phrase "Cascade preview" faintly suggests this returns a preview of downstream impact (likely related to deletion), but it does not say what the preview contains, whether it is advisory only, or how it relates to the mutate operations it presumably guards. With annotations present the bar is lower, but this adds almost no context.

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?

It is short, but this is under-specification rather than conciseness: a two-word fragment ending in a colon with nothing following it. Nothing is front-loaded because there is no content to 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?

With no output schema and no annotations covering semantics, the description carries the full explanatory burden for a tool whose entire purpose (previewing cascade effects) is undefined. Neither the return shape nor the meaning of the id is addressed, so an agent cannot call it with confidence.

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?

Schema description coverage is 0% for the single required `id`, so the schema gives only `type: string`. The description does not say which object the id identifies (a metrology dashboard, a widget, or something else), nor what format is expected, leaving the agent to infer the identifier's referent entirely.

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?

"Cascade preview:" is a noun fragment, not a statement of what the tool does. The name implies it returns preview information about cascading effects on a metrology dashboard, but the description itself never says the verb, the resource, or what a "cascade" means here, and it does not distinguish this from the ~100 other *_cascade_info_retrieve siblings.

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 guidance whatsoever about when to call this versus metrology_dashboards_retrieve, metrology_dashboards_object_retrieve, or metrology_dashboards_destroy. An agent has no basis to select it.

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