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

With no annotations, the description carries the burden of disclosing destructive behavior. It clearly states permanence and the non-cascade to referenced entities, which is the most important side-effect information. It does not detail auth requirements or other side effects, but the return shape is covered by an output schema.

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?

Two short sentences with the main action front-loaded and the key clarification in the second sentence. There is no filler or redundant restatement of the tool name.

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 delete operation with one required parameter and full schema descriptions, the description covers the operation, permanence, and association semantics. It lacks explicit sibling-tool routing, but the destructive behavior is sufficiently scoped for an agent to invoke it correctly.

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 100%, so the schema already documents both api_key and dataset_id. The description adds no parameter-level detail beyond the general dataset scope, which is acceptable given the schema coverage.

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 'Permanently delete a dataset' with a specific verb and resource, and the second sentence clarifies scope by noting that referenced entities survive. This clearly distinguishes it from sibling tools like delete_entity and remove_dataset_entities.

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 explicit when-to-use or alternative tools are named, but the statement that referenced entities are not deleted provides an implied boundary: this tool removes the dataset and its associations, not the entities themselves. It could be stronger by pointing to delete_entity or remove_dataset_entities for entity deletion.

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