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Delete DataLens workbooks

datalens_workbooks_delete_bulk
Destructive

Deletes multiple workbooks and all their contents at once. Use it to clean up or remove several workbooks in a single operation by providing their IDs.

Instructions

Delete several workbooks with everything they hold.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workbook_idsYesWorkbook ids.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.122.1

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=false, and openWorldHint=true, so the safety profile is covered. The description does add one genuinely useful behavioral fact beyond the annotations — 'with everything they hold' signals cascading deletion of contained entries — but says nothing about irreversibility, partial-failure behavior, or permissions.

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?

A single front-loaded sentence with the action first and no padding. It is efficient, though so terse that some of the terseness reads as under-specification rather than economy.

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

Completeness3/5

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

For a bulk destructive operation with no output schema, the annotations carry most of the risk signal and the description supplies the cascade scope. Still missing are guarantees about atomicity/partial failure across the id list, which matters for a batch delete.

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

Parameters3/5

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

With one parameter and 100% schema description coverage, the schema already documents workbook_ids. The description adds no format, batching limit, or id-validation detail, so the baseline 3 applies.

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

Purpose4/5

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

States a specific verb ('Delete') and resource ('workbooks') with a bulk scope ('several'), which distinguishes it from the singular datalens_workbooks_delete sibling. It does not, however, name or contrast with that sibling explicitly.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no precondition (e.g. what permissions are required), and no mention of the alternative single-delete tool. The agent must infer all usage context from the name alone.

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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