remove_dataset

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

With no annotations, the description carries the full burden. It discloses that the tool removes the dataset from memory and can optionally delete files, but lacks details on side effects (e.g., irreversibility of file deletion), error behavior for nonexistent datasets, or impact on other tools. This is adequate but not thorough.

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 sentence with 10 words, directly front-loaded with the core action. Every word serves a purpose, with no extraneous information, making it highly efficient for an agent to parse.

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 (2 parameters, no output schema, no annotations), the description covers the basic action but omission of conditions (e.g., dataset must exist, file deletion refers to original data files) and potential effects on other tools leaves it somewhat incomplete for an agent to anticipate outcomes.

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 coverage is 100%, providing clear parameter descriptions ('Name of the dataset to remove', 'Also delete the original data files'). The tool description essentially restates these points without adding new semantics, meeting the baseline but not exceeding it.

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 removes a dataset from memory and optionally deletes files, specifying the verb 'remove' and the resource 'dataset'. It distinguishes from siblings like clear_all_data (which removes all datasets) and clean_dataset (which might clean data without removing).

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 provides no guidance on when to use this tool over alternatives like clean_dataset or clear_all_data. It does not specify prerequisites, such as whether the dataset must be loaded or if it is currently in use, leaving the agent without contextual decision support.

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