get_dataset

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

No annotations are provided, and the description does not disclose any behavioral traits such as idempotency, error handling, or required permissions. The agent has no insight into side effects or safety beyond the generic read implication.

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?

The description is a single, well-structured sentence that immediately states the role and key constraint (v1 vs v2). Every word adds value with no redundancy.

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?

The output schema exists, partially compensating for return value documentation. However, missing parameter guidance and lack of behavioral context make it minimally adequate for a simple get operation.

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?

The parameter 'dataset_uri' has no description in the schema (0% coverage) and the tool description provides no additional context about its format, expected values, or constraints. This leaves the agent guessing how to construct the URI.

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 clearly states the verb 'gets details' and the resource 'specific dataset'. It also distinguishes from v2 by mentioning that v2 uses Assets, making it unique among siblings like get_dataset_events and list_datasets.

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 implies when to use (v1 API only) but does not explicitly state when not to use or mention alternatives like get_asset for v2. The guidance is implicit but lacks exclusions.

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