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elevenlabs_replicate_voice_to_isolated_environment

Replicate Voice To Isolated Environment. Replicates an Instant Voice Clone or Voice Design voice to a workspace in a different data residency. The target workspace must belong to the same consolidated billing group. The user must have VOICES_WRITE in the source workspace, and be an admin on the source voice. Human users (i.e. not service accounts) must also have VOICES_WRITE in the target workspace. This endpoint is available on the central environment only.

Bulk support: accepts voice_ids, target_workspace_ids, preserve_voice_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
voice_idYes
voice_idsNo
preserve_voice_idNo
preserve_voice_idsNo
target_workspace_idYes
target_workspace_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations only state readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds significant behavioral context: permission requirements, billing-group constraint, human vs service account differences, central-environment restriction, and bulk execution support. No contradiction with annotations exists.

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

Conciseness5/5

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

The description is compact and information-dense. Every sentence adds value: the core operation, prerequisites, permission model, environment limitation, and bulk support. It front-loads the purpose and avoids redundant restatement of the tool name or schema.

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 complexity, the description covers the critical operational constraints: permissions, billing-group requirement, environment restriction, and bulk mode. It does not describe return values, but the absence of an output schema makes that less critical. Minor gaps remain in full parameter behavior, so it is not a 5.

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 0%, so the description must compensate. It explains the bulk parameters (voice_ids, target_workspace_ids, preserve_voice_ids) and implicitly defines the singular voice_id and target_workspace_id. However, it does not explain preserve_voice_id semantics, account, or how singular/plural parameters interact, leaving gaps.

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 tool replicates an Instant Voice Clone or Voice Design voice to a workspace in a different data residency. This specific verb-resource pairing and the mention of 'isolated environment' distinguish it from related voice creation/sharing tools in the sibling list.

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?

The description gives concrete context for use: target workspace must share the consolidated billing group, required permissions are listed, and the endpoint is central-environment-only. It does not explicitly name alternatives, but the constraints are clear enough to guide when this tool is appropriate.

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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