AI agents use ingest_text to create or update resources in Rag — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rag environment.
This tool writes new content into the knowledge base by ingesting raw text. It is reversible (the sibling tool 'delete_document' exists), so it falls under Write rather than Destructive. Misuse could pollute the knowledge base with incorrect or malicious information, giving it a medium severity.
From the tool's definition 'Ingest raw text into the knowledge base' — creates new data in the knowledge base from raw text input.
Attacks that exploit this kind of access
Ingest raw text into the knowledge base. It is categorised as a Write tool in the Rag MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rag MCP server in PolicyLayer and add a rule for ingest_text: 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 Rag. Nothing to install.
ingest_text 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 ingest_text 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 ingest_text. 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.
ingest_text is provided by the Rag MCP server (mrankitvish/rag-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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