Medium Risk

ingest_file

Add a document (PDF, DOCX, TXT, MD, JSON, JSONL) to your knowledge base so you can search it. Use the full file path. If you ingest the same file again, it replaces the old version. You can tag it with metadata like author, domain, or tags.

Part of the Rag Vault server.

ingest_file can modify Rag Vault data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use ingest_file to create or modify resources in Rag Vault. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call ingest_file repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Rag Vault.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ingest_file": {
      "limits": [
        {
          "counter": "ingest_file_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Rag Vault policy for all 9 tools.

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_file gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

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

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the ingest_file tool do? +

Add a document (PDF, DOCX, TXT, MD, JSON, JSONL) to your knowledge base so you can search it. Use the full file path. If you ingest the same file again, it replaces the old version. You can tag it with metadata like author, domain, or tags.. It is categorised as a Write tool in the Rag Vault MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ingest_file? +

Register the Rag Vault MCP server in PolicyLayer and add a rule for ingest_file: 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_file? +

ingest_file is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ingest_file? +

Yes. Add a rate_limit block to the ingest_file 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_file completely? +

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

ingest_file 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.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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