List datasets

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds only the returned field list, which is already implied by the output schema; it says nothing about pagination, result limits, or ordering for a list operation.

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 tight sentence, front-loaded with the verb and resource, with no filler. It is efficient, though the parenthetical field list is redundant given the output schema and could have carried usage information instead.

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 read-only single-parameter list tool with an output schema, the essentials are covered, and return fields need not be restated. However, list semantics (pagination, ordering, empty results) are absent and the sibling routing is unaddressed, leaving gaps an agent would need to resolve.

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?

Only one parameter (project_id) at 0% schema description coverage, so the schema gives no semantics. The description's 'in a project' loosely implies project_id identifies the project, but adds no format, source, or validation detail beyond that.

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 (List) and resource (datasets) scoped to a project, and names the fields returned. It is clear on its own but does not differentiate itself from siblings such as get_dataset (single dataset) or list_dataset_versions, which an agent must disambiguate by name alone.

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?

There is no guidance on when to choose this over get_dataset or list_dataset_versions, and no note on prerequisites (e.g. that project_id must exist). The project scoping is implied but no alternatives or exclusions are named.

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