get-dataset

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

With no annotations, the description is the sole source. It discloses the operation as a read and states the return includes 'metadata and version information'. It does not cover behaviors like parameter priority or error responses, but it is adequate for a simple get tool.

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 short with four sentences including an example. It is front-loaded with the main purpose. While concise, it could be slightly tighter without the example, but it remains efficient.

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?

For a simple get tool with no output schema, the description gives a high-level idea of the return but lacks specifics about fields or error handling. It does not address parameter interactions. It is adequate but not fully complete for comprehensive understanding.

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%, so the description must compensate. It mentions 'by name or ID', linking to the two parameters, but provides no details on parameter formats, constraints, or behavior when both are provided. This adds minimal meaning beyond the schema.

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 dataset metadata by name or ID', specifying the verb, resource, and scope. It distinguishes itself from sibling tools like 'list-datasets' and 'get-dataset-examples' by focusing on a single dataset's metadata.

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 example usage 'Show me the dataset "my-dataset"' implies when to use this tool. However, it lacks explicit guidance on when not to use it or mention of alternatives like 'list-datasets' for browsing. The context is clear but not exhaustive.

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