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superset_dataset_delete

Delete a dataset permanently. Warns that linked charts and dashboards will stop working, and requires explicit confirmation to proceed.

Instructions

Delete a dataset. Charts using this dataset will stop working.

CRITICAL: deleting a dataset breaks all linked charts and dashboards.

Args: dataset_id: ID of the dataset to delete. confirm_delete: Deletion confirmation (REQUIRED).

Returns: JSON string with the deletion result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYes
confirm_deleteNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the critical destructive consequence and mentions the need for confirmation. However, the 'REQUIRED' label for confirm_delete conflicts with the schema's optionality, creating slight ambiguity about the actual deletion behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with a clear structure: action, warning, Args, Returns. However, 'Charts using this dataset will stop working' and the subsequent CRITICAL sentence are redundant, so not every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 params) and the presence of an output schema, the description covers the essential context: what it does, the major risk, argument meanings, and return type. It lacks details such as permission requirements or explicit confirmation semantics, but is largely complete for a delete operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, but the description's Args section explains both parameters: dataset_id as the ID and confirm_delete as 'Deletion confirmation (REQUIRED).' This adds meaning beyond the schema, though it doesn't clarify that confirm_delete must likely be true to proceed, and the 'REQUIRED' wording is inconsistent with the schema making it optional.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: 'Delete a dataset.' It names the specific resource (dataset) and is distinct from sibling tools like create/update. The additional consequence 'Charts using this dataset will stop working' further clarifies the purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides clear context by warning about breaking linked charts and dashboards, signaling this is a destructive operation. However, it does not explicitly state when not to use it or mention alternatives, so it lacks explicit exclusions.

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

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