patch_agent_settings_route
Patches An Agent Settings.
This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/patch-agent-settings-route.md
What patch_agent_settings_route does on Elevenlabs
AI agents use patch_agent_settings_route 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 | null | — | |
tags | object | — | |
agent_id | string | Yes | The id of an agent. This is returned on agent creation. |
workflow | object | — | |
branch_id | string | null | — | The ID of the branch to use |
procedures | object | — | |
platform_settings | object | — | |
conversation_config | object | — | |
version_description | string | null | — | |
enable_versioning_if_not_enabled | boolean | — | Deprecated: all agents are versioned. This parameter is ignored. |
Parameters from the server's own tool schema.
Why patch_agent_settings_route is rated Medium
An AI agent can call patch_agent_settings_route 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.
Risk signalsHigh parameter count (13 properties)
Attacks that exploit this kind of access
The rule that runs patch_agent_settings_route 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 patch_agent_settings_route, this is the rule to start with:
patch_agent_settings_route 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 patch_agent_settings_route call is checked against it from then on.
Questions about patch_agent_settings_route
Patches An Agent Settings. 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.
patch_agent_settings_route accepts 10 parameters: name, tags, agent_id, workflow, branch_id, procedures, platform_settings, conversation_config, version_description, enable_versioning_if_not_enabled. Required: agent_id. 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 patch_agent_settings_route: 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.
patch_agent_settings_route 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 patch_agent_settings_route 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 patch_agent_settings_route. 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.
patch_agent_settings_route 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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