query_agent_knowledge_base_rag_route
Query Agent Knowledge Base Rag.
This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/query-agent-knowledge-base-rag-route.md
What query_agent_knowledge_base_rag_route does on Elevenlabs
AI agents call query_agent_knowledge_base_rag_route to retrieve information from Elevenlabs without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Yes | Query to run against the agent's knowledge base RAG index. |
agent_id | string | Yes | The id of an agent. This is returned on agent creation. |
branch_id | string | null | — | The ID of the branch to use |
use_agent_defaults | boolean | — | When true (the default), retrieval uses the agent's own RAG settings, reproducing exactly what the agent would retrieve. Set to false to retrieve with neutral d |
max_documents_length | number | null | — | |
max_retrieved_rag_chunks_count | number | null | — |
Parameters from the server's own tool schema.
Why query_agent_knowledge_base_rag_route is rated Low
Even though query_agent_knowledge_base_rag_route only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs query_agent_knowledge_base_rag_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 query_agent_knowledge_base_rag_route, this is the rule to start with:
query_agent_knowledge_base_rag_route is read-only, so it stays allowed. 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 query_agent_knowledge_base_rag_route call is checked against it from then on.
Questions about query_agent_knowledge_base_rag_route
Query Agent Knowledge Base Rag. It is categorised as a Read tool in the Elevenlabs MCP Server, which means it retrieves data without modifying state.
query_agent_knowledge_base_rag_route accepts 6 parameters: query, agent_id, branch_id, use_agent_defaults, max_documents_length, max_retrieved_rag_chunks_count. Required: query, 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 query_agent_knowledge_base_rag_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.
query_agent_knowledge_base_rag_route is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the query_agent_knowledge_base_rag_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 query_agent_knowledge_base_rag_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.
query_agent_knowledge_base_rag_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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