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@aiwerk/mcp-server-elevenlabs

@aiwerk/mcp-server-elevenlabs

by AIWerk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

run_conversation_simulation_route_stream

Simulates a streaming conversation between an ElevenLabs agent and an AI user to test and evaluate agent responses using a defined simulation specification.

Instructions

Simulates A Conversation (Stream) Deprecated upstream.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "agent_id": "<agent_id>",
      "simulation_specification": "<simulation_specification>"
    },
    "name": "run_conversation_simulation_route_stream"
  }
}

Input Schema

NameRequiredDescriptionDefault
agent_idYesThe id of an agent. This is returned on agent creation.
new_turns_limitNoMaximum number of new turns to generate in the conversation simulation
simulation_specificationYesA specification that will be used to simulate a conversation between an agent and an AI user.
extra_evaluation_criteriaNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, so the safety profile is covered. The description adds the behavioral disclosure that the tool is deprecated upstream, which is useful but limited; it does not describe side effects, output, or streaming behavior.

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

Conciseness2/5

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

The definition is a single very short sentence. It is front-loaded but severely under-specified for a complex simulation tool, so it is too brief rather than appropriately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a complex simulation operation, nested parameters, and no output schema, the description omits return behavior, simulation semantics, and any migration guidance for the deprecation. It is not complete enough for an agent to call the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 75%, with nested objects and one undocumented top-level parameter (extra_evaluation_criteria). The description adds no parameter meaning at all, so it fails to compensate for the gaps in the schema.

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?

The description states a specific verb ('Simulates') and resource ('A Conversation (Stream)'), and adds the critical qualifier 'Deprecated upstream'. It distinguishes this stream variant from the non-stream sibling run_conversation_simulation_route, though it offers no further scope detail.

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

Usage Guidelines2/5

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

The description says 'Deprecated upstream,' which is a usage warning, but it does not say when to use this tool instead of the non-stream simulation or any alternative. No explicit when/when-not guidance or migration path is given.

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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