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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description usefully adds return behavior (open questions, or the required research once complete), but omits whether the record string must be the latest one, how partial answer sets are handled, or any auth/rate constraints. The word 'Adds' is mutation-flavored phrasing against a readOnlyHint=true annotation, though it is consistent with a stateless pass-in/pass-back design, so this is not treated as a contradiction.

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, no filler, with the core action front-loaded and the return behavior second. Every clause carries information.

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 correctly takes on return-value disclosure, covering both terminal states. Parameters and safety are handled by schema and annotations. Minor gap: it does not state what happens on a partial answer submission or whether unanswered questions should be omitted or marked 'unsure.'

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%: the `record` string's provenance ('the previous workflow tool returned, passed back unchanged') and the `answers` keying/`from` semantics are fully documented in the schema, including per-question descriptions and enums. The description adds no parameter detail, which is acceptable given the schema does the work.

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 verb and resource — adds the user's answers to the work record — and clarifies the object as 'the clarifying questions.' It is distinguishable from siblings like record_research or work_record, though it never names an adjacent tool to draw the boundary 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?

Usage is implied rather than stated: the mention that it 'returns the questions still open' tells an agent this is called iteratively until all questions are answered. There is no explicit when-to-use, when-not-to-use, or named alternative, so an agent must infer the placement in the workflow.

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