get_dataset_info

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

No annotations are provided, so the description must convey behavioral traits. 'Get detailed information' implies a read-only, non-destructive operation, which is reasonable. However, it does not explicitly state that no modifications occur or address any potential side effects.

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 single-sentence description is concise and directly states the tool's purpose. It is front-loaded and efficiently communicates the core idea, though a bit more structure (e.g., listing key information returned) could enhance it.

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?

Given no output schema and three parameters, the description lacks completeness. It does not specify what 'detailed information' includes (e.g., schema, statistics, metadata), leaving the agent uncertain about the return format. This is a significant gap for a retrieval tool.

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 coverage is 100%, with each parameter described in the schema. The description adds no additional meaning beyond what the schema already provides. Baseline score of 3 is appropriate since the schema does the heavy lifting.

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 ('Get') and the resource ('detailed information about a specific dataset'). It distinguishes from siblings like list_datasets (listing multiple datasets) and profile_dataset (profiling), focusing on a single dataset's details.

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 provides no explicit guidance on when to use this tool versus alternatives (e.g., list_datasets for listing, profile_dataset for profiling). While the purpose is clear, lack of usage distinctions or prerequisites limits its helpfulness.

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