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

Annotations already declare readOnly, idempotent and closed-world, so the safety profile is covered. The description usefully discloses the fields each entry returns, but says nothing about ordering, pagination or whether the list is static.

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 dense sentence that front-loads the count and group breakdown. Efficient, though the phrasing 'ID, what the agent is asked, the search call and freshness' is slightly telegraphic.

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 carries the return-value burden and does so by naming the per-question fields. For a one-parameter read-only listing tool this is largely complete, with only ordering/filtering behavior left unspecified.

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 coverage is 100% and the single use_case enum is fully documented in the schema. The description's mention of GTM/insurance/finance groups loosely mirrors the enum values but adds no filtering semantics beyond it, so baseline 3 applies.

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?

Names the specific resource (30 benchmark questions) and enumerates the ID prefixes per use case plus what each entry carries (ID, prompt, search call, freshness). It is clearly the bulk-list counterpart to get_question, though it never names that sibling explicitly.

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 contents imply it's the way to browse the full question set while get_question presumably fetches one, but the description never states when to use this vs get_question or that use_case can narrow the list. Usage is left to inference.

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