get_dataset_release

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

With no annotations, the description must carry the burden; it does signal a read-only retrieval operation and identifies the two artifacts returned. However, it does not explain how version selection behaves, whether any system state is read, or what 'coverage metadata' includes.

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 one compact sentence with the verb and object first and no filler words. It earns a high conciseness score even though the content could be richer.

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?

The tool is simple with one optional parameter and an output schema, so the description is not drastically incomplete. Yet it leaves release terminology, alternatives, and version semantics unexplained, which is a noticeable gap for an agent choosing among several dataset-related siblings.

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?

The input schema has a single version parameter with 0% description coverage, and the tool description never mentions the parameter, its format, or how 'latest' is resolved. The description fails to compensate for the missing schema documentation.

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 verb ('Get') and target ('release manifest'), and additionally names what is returned ('coverage metadata'). It is clear but does not explicitly distinguish itself from the sibling get_dataset_download or define what a 'release' means in this domain.

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 guidance is given about when to call this tool rather than list_sources, get_proposition, or get_dataset_download. The context around release manifests is left entirely implicit.

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