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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context by enumerating what the payload contains, but says nothing about whether the listed prices and catalog ids are static snapshot data or freshly looked up, which matters for a tool returning prices. Adequate rather than rich given the annotation coverage.

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?

Two sentences, with the content inventory front-loaded and the usage trigger second. The parenthetical list is dense but each item earns its place by telling the agent what detail level to expect. Slightly heavy in one sentence, but no wasted phrasing.

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, so the description must convey the return shape, and it does: per-test what-it-tells-you, method, equipment, values to report and sources, plus kit composition with ids, quantities and prices. With one optional parameter fully documented in the schema, an agent has what it needs to call this correctly. Only the freshness of the embedded prices is unaddressed.

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 100%, and the single optional kit parameter is documented in the schema with an example value ('starter'). The description mentions the three kit tiers, which gives useful background, but does not explain the filtering behavior of the parameter itself. Baseline 3 applies when the schema carries the parameter burden.

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 names a specific resource and its contents: nine bench tests in run order with method, equipment, values and sources, plus three bench kits with part ids, quantities and prices. That is far more concrete than the name alone. It stops short of explicitly contrasting itself with siblings like check_test_result or get_part, but the content scope is distinctive enough to separate it in practice.

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?

It gives explicit triggering conditions: someone has built or bought an actuator and asks how to verify it, or asks what test equipment to buy. That is a clear context for invocation rather than an implied one. There are no when-not conditions and no named alternatives, so it falls short of a 5.

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