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

Annotations already declare the safety profile as read-only, idempotent, non-destructive, and closed-world. The description adds some context about shared database page limits and structured-result byte budgets, but those constraints remain vague and are not actionable.

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?

It is a single front-loaded sentence with no wasted text. The phrasing around 'rich table page' and 'structured-result byte budgets' is compact but somewhat jargon-heavy.

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?

Although an output schema exists and annotations cover the safety profile, a nine-parameter browsing tool needs more guidance on parameter meaning and alternatives. The description leaves too much to inference for correct invocation.

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 0% across nine parameters, so the description carries the full burden. It vaguely mentions pagination, search, and sorting, but does not explain dataset_id, workspace_id, table, version, page_size, or sort_dir semantics.

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 states a specific verb and resource: reading one rich table page with search and sorting. It is clear enough to distinguish row browsing from broader dataset tooling, but it does not explicitly contrast itself with siblings like query_dataset or export_dataset.

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 paginated, searchable nature implies when to use it for browsing rows, but there is no explicit guidance on when to choose this over query_dataset, get_dataset_view, or export_dataset. The usage context is implied rather than stated.

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