Bigquery.Tables.List

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

No annotations are provided, so the description carries the full disclosure burden. It implies a read-only operation but says nothing about pagination behavior, result limits, ordering, or access requirements for the project/dataset — all material for an agent planning a call.

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 short sentence with no filler, and the resource being listed is front-loaded. It is efficient but so terse that brevity shades into under-specification rather than crispness.

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 zero schema coverage, no annotations, and no usage context, the description leaves the two required parameters' formats and the tool's relationship to sibling BigQuery tools unexplained — inadequate for even a simple list tool in this suite.

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%, so both parameters are undocumented in the schema. The description only implicitly covers dataset_id ('in a BigQuery dataset') and never mentions project_id, leaving the agent to guess whether it is a GCP project ID, numeric ID, or optional default.

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 ('List tables') scoped to a BigQuery dataset, so the agent knows exactly what it returns. It does not differentiate itself from siblings such as bigquery.datasets.list or bigquery.table.create, which the agent must infer from naming 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 use this versus bigquery.datasets.list (browse datasets first?) or bigquery.table.create, nor any prerequisite such as required permissions or that the dataset must already exist. Usage is only implied by the verb 'List'.

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