get_dataset

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

With no annotations, the description carries the full burden. It indicates this is a read operation (getting info) but does not disclose any specific behavioral traits such as safety, authentication needs, or side effects. The mention of needing codes for other tools adds some behavioral context.

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 extremely concise with three sentences, each providing valuable information: what the tool returns, when to use it, and why the output is important. No redundant words, and it is well front-loaded.

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 the existence of an output schema, the description appropriately focuses on usage context and links to other tools. It covers the purpose and the relevance of the returned codes. It could mention that 'dataset_code' can be obtained from 'list_datasets', but overall it is complete enough for an agent.

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 0% for the only parameter 'dataset_code'. The description does not explain what 'dataset_code' is, where to find it, or any format details. While the purpose is clear, the parameter meaning is left implicit, requiring the agent to infer from the tool name or sibling tools.

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 'dataset' and lists what information is returned (description, dimensions, indicators, keywords). However, it does not explicitly differentiate from sibling tools like 'get_dataset_metadata' or 'get_dataset_selections', which may overlap in purpose.

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 gives explicit advice: 'Use this to understand dataset structure before querying data.' It also mentions that the codes are needed for 'get_value()' and 'custom_query()', providing context for when to use this tool and linking to alternatives. However, it does not mention when not to use it.

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