get_subdataset_meta_v1_datasets__provider___dataset___subdataset

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

With no annotations provided, the description carries the burden of behavioral disclosure. It states the operation is public and read-only (no data returned), which is good. However, it does not mention error conditions, rate limits, or required permissions, leaving some behavioral gaps.

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: two sentences totaling about 20 words. It includes the endpoint, a label, and a clear purpose. Every word adds value, and the most critical information is 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 tool's simplicity (3 string params, no output schema, no annotations), the description is largely complete. It explains what the tool returns and that it's public. However, it could benefit from clarifying possible errors or the relationship to the dataset-level meta tool.

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 3 string parameters with no additional description (0% schema coverage). The tool description does not explain the parameters further. The parameter names are self-explanatory, but the schema provides only basic type information, so the description adds no semantic value beyond the names.

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 tool's purpose: retrieve metadata about a subdataset without the data. It specifies the HTTP method and endpoint, and mentions that it returns metadata including schema and available views. This distinguishes it from sibling tools like get_dataset_meta (for datasets) and get_subdataset_by_path (for data).

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 implies when to use this tool (when you need metadata for a subdataset) but does not explicitly state when not to use it or suggest alternatives. It lacks guidance on distinguishing from closely related siblings like get_dataset_meta or get_subdataset_by_path.

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