Bigquery.Datasets.List

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only enumeration but says nothing about pagination, result limits, required IAM permissions, or whether all datasets or only those visible to the caller are returned.

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 front-loaded sentence with no filler. It is efficient, though the brevity borders on under-specification rather than tightness.

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?

An output schema exists, so return values need not be described. However, with no annotations, an undocumented parameter, and no mention of pagination or permissions on a listing tool, the definition leaves real gaps an agent would need filled before calling confidently.

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% and project_id has no description in the schema. The phrase 'in a BigQuery project' loosely ties the parameter to a project scope, but gives no format hint (e.g., 'my-project-123') or constraints, so it barely compensates for the coverage gap.

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 BigQuery project, which is enough to distinguish it from write siblings like bigquery.dataset.create and from bigquery.tables.list. It does not explicitly call out those siblings, so it stops short of full differentiation.

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 description gives no when-to-use guidance, no prerequisites, and no routing between this and adjacent tools such as bigquery.tables.list, bigquery.dataset.create, or bigquery.query.run. An agent must infer the selection context from the name alone.

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