drop_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 for a destructive operation. It says nothing about whether unsaved changes are lost, whether the dataset remains on disk, what happens if the name does not exist, or whether the call is idempotent; "from memory" is the only behavioral hint and is ambiguous on persistence.

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?

A single short sentence with the resource and scope front-loaded and no padding. It is efficient, though the brevity reflects under-specification rather than disciplined editing.

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?

An output schema exists, so return-value explanation is not needed, but for a destructive mutation with no annotations and an undocumented parameter the description leaves too much open: data-loss consequences, error behavior, and interaction with save_dataset/load_dataset are all unaddressed.

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% and the single parameter "name" is a bare string with no description. The phrase "a dataset" weakly implies name is a dataset identifier, but nothing is said about qualified names, case sensitivity, or whether a handle from list_datasets is expected – rendering the only required parameter under-specified.

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?

States a specific verb ("Remove") and resource ("dataset") with a scope qualifier ("from memory") that hints this unloads an in-memory object rather than deleting persisted data — a meaningful distinction given siblings save_dataset and load_dataset. It does not name or contrast any sibling explicitly, so it stops short of full differentiation.

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?

There is no when-to-use guidance, no statement of preconditions (e.g., the dataset must be loaded), and no pointer to alternatives such as save_dataset if the user intends to persist before dropping. The agent must infer the context entirely from the name and the phrase "from memory."

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