rag_index_status

Compute Rag Index.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs

Low RISK CLASS

Category Read

Parameters 22 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/rag-index-status.md

WHAT IT DOES

What rag_index_status does on Elevenlabs

AI agents call rag_index_status 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
`model`	string	Yes
`documentation_id`	string	Yes	The id of a document from the knowledge base. This is returned on document addition.

Parameters from the server's own tool schema.

RISK

Why rag_index_status is rated Low

Even though rag_index_status 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

RECOMMENDED RULE

The rule that runs rag_index_status 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 rag_index_status, this is the rule to start with:

rag_index_status Allowed

rag_index_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "rag_index_status": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Elevenlabs, apply this rule, and every rag_index_status call is checked against it from then on.

FAQ

Questions about rag_index_status

What does the rag_index_status tool do? +

Compute Rag Index. It is categorised as a Read tool in the Elevenlabs MCP Server, which means it retrieves data without modifying state.

What parameters does rag_index_status accept? +

rag_index_status accepts 2 parameters: model, documentation_id. Required: model, documentation_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on rag_index_status? +

Register the Elevenlabs MCP server in PolicyLayer and add a rule for rag_index_status: 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 rag_index_status? +

rag_index_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit rag_index_status? +

Yes. Add a rate_limit block to the rag_index_status 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 rag_index_status completely? +

Set action: deny in the PolicyLayer policy for rag_index_status. 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 rag_index_status? +

rag_index_status 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.

KEEP EXPLORING

More on Elevenlabs, and thousands of servers like it.

This server

All 390 Elevenlabs tools →

Across the catalogue

index_project on ACE-MCP →search_index on Azure AI Agent Service + Azure AI Search MCP Server →claude_git_status on Claude Bridge → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →