get_datasets
Retrieves a list of all datasets in BigQuery. Provides an overview of available datasets for querying or exploration.
Instructions
Get list of all datasets
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieves a list of all datasets in BigQuery. Provides an overview of available datasets for querying or exploration.
Get list of all datasets
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description only states 'get list of all datasets', lacking any behavioral details like read-only status, pagination, or authentication requirements.
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?
Extremely concise single sentence with no superfluous words.
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?
Adequate for a no-parameter list tool, but could explain the return format (e.g., array of dataset names) to be fully complete.
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?
No parameters exist, schema coverage is 100%, so the baseline of 4 applies; description adds no extra param info, but it is not needed.
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 'Get list of all datasets' clearly states the verb (Get) and resource (datasets), distinguishing it from siblings like get_tables or execute_query.
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?
No explicit when-to-use or alternatives provided, but the simplicity of the tool makes it obvious; minimal guidance is adequate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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