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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, so safety is covered; the description adds useful behavior the annotations cannot: the fact that questions are grouped by kind ('one'/'many'/'text') and how each kind maps to the answer format to submit. It stops short of describing the response structure (field names, ordering, whether optional questions are flagged separately from required).

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, front-loaded with the resource definition, then the workflow step, then the answer-kind encoding. The final clause is dense but each sentence carries distinct information; no filler.

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, the description must carry the return shape, and it covers the essentials: a set of questions, their accepted answer ids, and how kind determines answer cardinality. It leaves unstated whether required/optional is a field on each question or only implied by prose, which is a small gap for a tool whose output drives ubm_recommend_plan input.

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?

Zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The sentences about answer id cardinality apply to downstream input rather than this tool's own schema, which is appropriate here.

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?

States a specific resource: the questions the Solutions guide asks about a business, plus the answer ids each accepts. That makes the returned data's shape distinguishable from read-only siblings such as ubm_list_packages or ubm_get_service, which return catalog data rather than questions.

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?

Explicitly positions the call as 'Step 2', says to ask the person the questions (only required ones are a must), and names the handoff target ubm_recommend_plan for the resulting answers. An agent knows both when to call it and what to do next.

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