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list_datasets

List datasets with usage and quota info to monitor storage capacity and identify allocation per pool.

Instructions

List datasets with usage and quota info. Always specify a pool to avoid timeouts on large systems.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
poolNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It warns about timeouts without a pool, a key behavioral trait, but omits details like behavior on invalid pool or whether listing is global or per-pool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The first sentence states purpose, the second provides critical usage guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a single optional parameter, no annotations, and an output schema, the description is largely complete. It covers purpose, a usage concern, and parameter role. Could more explicitly state default behavior without pool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the description must compensate. It adds meaning for the 'pool' parameter by explaining its purpose and a performance tip, though it lacks details on allowed values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'list datasets with usage and quota info', specifying the verb and resource and adding detail that distinguishes it from other list operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance: 'Always specify a pool to avoid timeouts on large systems.' This gives context for effective use but does not compare with alternatives or state when not to use.

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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