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; the description adds genuinely new behavioral context by guaranteeing no model spend and no trade execution. It stops short of describing what state is reported or how fresh it is.

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?

A single sentence with no filler, and the differentiating constraint (no spend, no execution) is placed where it is immediately visible. Nothing could be trimmed without losing signal.

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 parameters, the description is the only place an agent could learn what a "status" response contains, and it does not say. For a zero-argument inspection tool the cost/eafety profile is clear but the payload remains a mystery.

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, so there is nothing for the description to disambiguate and the baseline of 4 applies. The schema is empty and fully specified.

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?

"Inspect Cascade Graph build/runtime truth" gives a verb and a resource, but "truth" is jargon that doesn't say what is actually returned (health? config? graph state?). The clause "without model spend or trade execution" usefully separates it from spending siblings like cascade_analyze, but the core deliverable stays 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?

The phrase "without model spend or trade execution" implies this is the cheap, safe pre-check to run before costly siblings such as cascade_analyze or cascade_review_jev, but it never states that relationship explicitly or names an alternative. Usage is inferable rather than instructed.

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