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

Annotations already declare the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=false), and the description is consistent with that. It adds a genuinely useful constraint, 'Do not include personal data', plus the rationale for collecting feedback. It does not mention that submissions are non-idempotent (duplicates on repeat calls) or what the caller gets back, so it is additive but not rich.

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 privacy constraint and mode split are front-loaded and useful, but the text re-lists enum values (no_budget, cost_too_high, dataset_usability_uncertain, other) that already appear in the schema, and the repeated 'we use this feedback to provide...' rationale is promotional filler. Two dense sentences that could be tightened by roughly a third.

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?

For a 5-parameter write tool with full schema coverage, annotations, and no output schema, the description covers both usage paths and a privacy rule the agent would otherwise not know. Only the post-submission behavior (success signal, duplicate handling) is left unstated, which is minor given no output schema exists.

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%, so the schema already documents every parameter including the conditional requirements for reason, wanted, and comment. The description restates the enum values for reason and the two type modes but adds no format, limit, or edge-case detail beyond what the schema provides, so the 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?

The description makes clear this tool submits feedback, and splits it into two concrete modes (no_purchase and wishlist) with the intent behind each. The verb is informal ('tell us') rather than a crisp 'submit', but the resource and scope are unambiguous and clearly distinct from read-oriented siblings like query_dataset or list_datasets.

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 gives explicit conditional routing: use type no_purchase if you did not buy, type wishlist if you paid and want to name other datasets. That is stronger than most tools provide. It does not name sibling tools as alternatives, but none of them are genuine substitutes for feedback submission.

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