Low Risk

ingest_data

Add text content directly instead of from a file. Good for: fetched web pages (format: html), copied text (format: text), or markdown strings (format: markdown). The source identifier lets you update the content later by re-ingesting with the same source. You can add custom metadata too. For file...

Part of the Rag Vault server.

ingest_data is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call ingest_data to retrieve information from Rag Vault without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though ingest_data only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ingest_data": {}
  }
}

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Get this rule live on your own Rag Vault server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access ingest_data gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ingest_data only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the ingest_data tool do? +

Add text content directly instead of from a file. Good for: fetched web pages (format: html), copied text (format: text), or markdown strings (format: markdown). The source identifier lets you update the content later by re-ingesting with the same source. You can add custom metadata too. For files on disk, use ingest_file instead.. It is categorised as a Read tool in the Rag Vault MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ingest_data? +

Register the Rag Vault MCP server in PolicyLayer and add a rule for ingest_data: 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 Vault. Nothing to install.

What risk level is ingest_data? +

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

Can I rate-limit ingest_data? +

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

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

ingest_data is provided by the Rag Vault MCP server (@robthepcguy/rag-vault). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Rag Vault tool call.

Deterministic rules across all 9 Rag Vault tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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