odp_get_dataset

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

No annotations are provided, so the description must carry the burden. It only indicates a read operation ('Get details') with no mention of permissions, rate limits, side effects, or response behavior. The description adds minimal transparency beyond the action.

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 very concise with two sentences and an Args section. It is front-loaded and efficient. However, it could benefit from slightly more context without becoming verbose.

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 one parameter, no annotations, and an existing output schema, the description is minimally adequate. It explains the parameter's role but does not clarify what 'bulk dataset product' means or when to use this tool over 'odp_search_datasets'. Completeness is average.

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%, meaning the parameter 'product_id' has no description in the schema. The description's 'Args' section provides a brief comment: 'product_id: Dataset product identifier.' This adds minimal meaning but does not fully compensate for the lack of schema descriptions.

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 'Get details of a specific bulk dataset product.' It uses a specific verb ('Get') and resource ('bulk dataset product'), and distinguishes from siblings like 'odp_search_datasets' which is for searching. However, it does not elaborate on what 'details' entails.

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 guidance on when to use this tool versus alternatives. It implies use for a specific dataset, but does not mention when not to use or refer to sibling tools like 'odp_search_datasets' for searching.

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