This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/add-from-rules.md
What add_from_rules does on Elevenlabs
AI agents use add_from_rules to create or update resources in Elevenlabs, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Elevenlabs environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | The name of the pronunciation dictionary, used for identification only. |
rules | array | Yes | List of pronunciation rules. Rule can be either: an alias rule: {'string_to_replace': 'a', 'type': 'alias', 'alias': 'b', } or a phoneme rule: {'string_to_repla |
description | string | null | — | |
workspace_access | object | — |
Parameters from the server's own tool schema.
Why add_from_rules is rated Medium
An AI agent can call add_from_rules faster than any human can review: one bad instruction and it creates or modifies resources in Elevenlabs by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs add_from_rules safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Elevenlabs, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_from_rules, this is the rule to start with:
add_from_rules stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Elevenlabs, apply this rule, and every add_from_rules call is checked against it from then on.
Questions about add_from_rules
Add A Pronunciation Dictionary. It is categorised as a Write tool in the Elevenlabs MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
add_from_rules accepts 4 parameters: name, rules, description, workspace_access. Required: name, rules. The full parameter table on this page comes from the server's own tool schema.
Register the Elevenlabs MCP server in PolicyLayer and add a rule for add_from_rules: 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 Elevenlabs. Nothing to install.
add_from_rules is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_from_rules 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 add_from_rules. 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.
add_from_rules is provided by the Elevenlabs MCP server (@aiwerk/mcp-server-elevenlabs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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