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Create DataLens cloud environment

datalens_cloudenvironments_create

Creates a DataLens cloud environment and returns the provisioning operation. Confirm billing approval before calling.

Instructions

Make a cloud environment and return the operation that makes it.

It creates resources in a cloud, which may be billed: ask the person before calling. Experimental in the DataLens API, written from its document and never called: not measured.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe environment's name.
storageNoThe settings of its storage bucket; no bucket when left out.
cloud_idYesThe cloud to make it in.
subnet_idYesThe subnet it uses.
descriptionNoA description.
security_group_idsNoThe security groups the environment uses.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.122.1

TDQS

A3.7/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly=false, destructive=false, idempotent=false, openWorld=true), and the description adds non-obvious context beyond them: the call may incur billing requiring user confirmation, and the API is experimental/untested ('never called: not measured'). That is real disclosure, though it lacks detail on auth or the operation object's 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?

Front-loads the purpose in the first sentence, then appends billing and experimental caveats. Three short sentences with little waste, though 'the operation that makes it' is slightly awkward phrasing.

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?

For a 6-parameter create tool with no output schema, the description covers purpose, the billing prerequisite, and experimental status. Return value is only hinted at ('return the operation') but output schema is absent and the schema documents inputs fully, so it is largely complete.

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?

Schema description coverage is 100%, so the schema already documents all six parameters including required ones and nested storage settings. The description adds no parameter-level 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 and resource ('Make a cloud environment') plus the return artifact ('return the operation that makes it'). It is clearly a creation tool distinguishable from the sibling list/get/update/delete operations, though it does not explicitly name those siblings.

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

Usage Guidelines3/5

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

Provides one prerequisite-style guideline ('ask the person before calling') driven by potential billing, which is genuinely useful. However, it offers no explicit when-to-use-vs-alternatives routing against the sibling create/update operations, leaving usage largely implied.

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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