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run_conversation_simulation_route_stream

Simulates A Conversation (Stream) Deprecated upstream.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs
High RISK CLASS
Category Execute
Parameters 42 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/run-conversation-simulation-route-stream.md

What run_conversation_simulation_route_stream does on Elevenlabs

AI agents invoke run_conversation_simulation_route_stream to trigger actions in Elevenlabs. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

ParameterTypeRequiredDescription
agent_id string Yes The id of an agent. This is returned on agent creation.
new_turns_limit number Maximum number of new turns to generate in the conversation simulation
simulation_specification object Yes A specification that will be used to simulate a conversation between an agent and an AI user.
extra_evaluation_criteria object

Parameters from the server's own tool schema.

Why run_conversation_simulation_route_stream is rated High

run_conversation_simulation_route_stream triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Questions about run_conversation_simulation_route_stream

What does the run_conversation_simulation_route_stream tool do? +

Simulates A Conversation (Stream) Deprecated upstream. It is categorised as a Execute tool in the Elevenlabs MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does run_conversation_simulation_route_stream accept? +

run_conversation_simulation_route_stream accepts 4 parameters: agent_id, new_turns_limit, simulation_specification, extra_evaluation_criteria. Required: agent_id, simulation_specification. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on run_conversation_simulation_route_stream? +

Register the Elevenlabs MCP server in PolicyLayer and add a rule for run_conversation_simulation_route_stream: 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.

What risk level is run_conversation_simulation_route_stream? +

run_conversation_simulation_route_stream is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_conversation_simulation_route_stream? +

Yes. Add a rate_limit block to the run_conversation_simulation_route_stream 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.

How do I block run_conversation_simulation_route_stream completely? +

Set action: deny in the PolicyLayer policy for run_conversation_simulation_route_stream. 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.

What MCP server provides run_conversation_simulation_route_stream? +

run_conversation_simulation_route_stream 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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