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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuinely new framing: the items are public, the starter is a 'smoke test' and not a safety score, which materially shapes how the agent should present results. It does not discuss return format or ordering, but that is a minor gap.

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 inventory of starters is front-loaded and the guidance follows in a logical order. It runs a bit long and embeds an instruction about how to phrase the answer ('Say plainly...'), but every sentence conveys distinct, useful information rather than restating the name or title.

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, but the description does tell the agent what it will get back (the named starter sets with their dataset and rubric composition) and how to act on it. For a zero-parameter list tool backed by read-only annotations, this is essentially complete, with only return ordering/pagination left unstated.

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 the schema carries nothing for the description to complement. Baseline 4 applies; there is no parameter ambiguity to resolve.

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 concretely enumerates what the tool surfaces (five named starter sets, each an original dataset paired with an anchored rubric) and distinguishes itself from the install sibling. It never uses an explicit verb like 'list', relying on the title for that, but the content is specific enough that an agent can tell it apart from caliper_datasets_list or caliper_rubrics_list.

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 states the trigger ('when a user wants to check an assistant for these and has no cases yet'), names the follow-up action and its tool ('install with caliper_starters_install'), and implies the exclusion via 'has no cases yet' plus 'their own cases are where the real signal is.' That is explicit when, when-not, and alternative.

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