open_data_dataset

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only lookup and mentions downloadable files, but it does not describe authentication needs, rate limits, whether files are URLs or embedded content, or other operational behavior.

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, front-loaded sentence with no wasted text. It states the resource, the returned content, and the parameter source efficiently.

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 one-parameter lookup with an output schema available, the description provides enough to call the tool correctly and understand the parameter source. It is slightly incomplete in not distinguishing this tool from open_data_preview, but the core context is present.

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 explain the single parameter. It does so by saying the argument is a dataset 'id or slug from open_data_search', which adds meaningful expected-value guidance beyond the bare schema type.

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 states a specific resource and operation: details and downloadable files for one dados.gov.pt dataset. It also clarifies that the dataset argument comes from open_data_search, which helps distinguish it from the search tool, though it does not explicitly contrast with open_data_preview.

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 phrase 'id or slug from open_data_search' implies the intended workflow: first search, then fetch dataset details. However, it does not explicitly say when to use this tool versus open_data_preview, nor does it state any exclusions or prerequisites.

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