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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered; the description still adds real context beyond them by stating "No account needed" (auth requirement) and "It returns no prices" (an explicit scope boundary that prevents a mis-call). It does not mention list size, pagination, or caching, so it falls short of a 5.

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?

Three sentences, each doing distinct work: what is listed, when to call it and what to do with the result, and where to go for pricing. The purpose is front-loaded and there is no redundant restatement of the title or annotations.

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 carries the burden of explaining the return payload, and it does so field by field. Combined with the pre-call guidance and the pricing hand-off, an agent has everything needed to invoke this correctly on the first try.

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 baseline is 4 and the description cannot document inputs beyond confirming the call is parameter-free. It does usefully describe what the response contains (preset id/version, slots, steps, report types), which substitutes for the absent output schema rather than adding parameter meaning.

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?

Opens with a specific verb and resource ("Lists the current analysis presets (qualitative methods)") and enumerates the concrete fields returned: preset id and version, title, description, required/optional input slots, analysis steps, and producible report types. This is clearly separable from qualitative_get_pricing or qualitative_quote_analysis, which the description explicitly names.

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?

Gives an explicit trigger ("Call it before quoting or starting an analysis") and the concrete purpose of that call (to choose a `preset_id` and valid `selected_reports`). It also names the alternative for a related need — "use qualitative_quote_analysis for the price" — so an agent knows both when to use this and when to route elsewhere.

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