delete_datahub_datasets
Ingest third-party cost, usage, and metric-based data for analysis. Deletes one or more DataHub datasets and all their associated data.
This record as markdown: /tools/doit/delete-datahub-datasets.md
What delete_datahub_datasets does on Doit
AI agents call delete_datahub_datasets to permanently remove resources in Doit, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
| Parameter | Type | Required | Description |
|---|---|---|---|
datasets | array | Yes | List of dataset names to delete. |
customerContext | string | — | Scope the request to a specific customer by ID. Required for DoiT employees (whose token isn't tied to a single customer); omit for direct customer users. |
Parameters from the server's own tool schema.
Why delete_datahub_datasets is rated Critical
An AI agent that decides to call delete_datahub_datasets doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Doit is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs delete_datahub_datasets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Doit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_datahub_datasets, this is the rule to start with:
delete_datahub_datasets is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Doit, apply this rule, and every delete_datahub_datasets call is checked against it from then on.
Questions about delete_datahub_datasets
Ingest third-party cost, usage, and metric-based data for analysis. Deletes one or more DataHub datasets and all their associated data. It is categorised as a Destructive tool in the Doit MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
delete_datahub_datasets accepts 2 parameters: datasets, customerContext. Required: datasets. The full parameter table on this page comes from the server's own tool schema.
Register the Doit MCP server in PolicyLayer and add a rule for delete_datahub_datasets: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Doit. Nothing to install.
delete_datahub_datasets is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_datahub_datasets rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for delete_datahub_datasets. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
delete_datahub_datasets is provided by the Doit MCP server (@doitintl/doit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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