Add a new document to the Supabase vector database. The document will be split into chunks, converted to embeddings, stored for semantic searches, AND automatically classified by document type with entity extraction.
AI agents use index_document to create or update resources in Multi-Agent RAG MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Multi-Agent RAG MCP Server environment.
The tool creates new records and modifies the database state by adding documents, embeddings, and classifications. This is a reversible write operation (documents can be deleted via clear_database or other means). It does not delete data (Destructive), execute arbitrary code (Execute), or move money (Financial).
From the tool's definition Tool description explicitly states 'Add a new document' and 'stored for semantic searches' and 'automatically classified' indicating data creation and modification operations.
Attacks that exploit this kind of access
Add a new document to the Supabase vector database. The document will be split into chunks, converted to embeddings, stored for semantic searches, AND automatically classified by document type with entity extraction. It is categorised as a Write tool in the Multi-Agent RAG MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Multi-Agent RAG MCP Server MCP server in PolicyLayer and add a rule for index_document: 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 Multi-Agent RAG MCP Server. Nothing to install.
index_document 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 index_document 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 index_document. 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.
index_document is provided by the Multi-Agent RAG MCP Server MCP server (tsarri/rag-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
index_document is one line of Multi-Agent RAG MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →