Low Risk

file-content

Download and retrieve the actual content of an uploaded file. Perfect for reviewing file contents, verifying uploads, or extracting text for analysis.

How to control file-content ↓

What file-content does on Universal OpenAI Vector Store MCP Server

AI agents call file-content to retrieve information from Universal OpenAI Vector Store MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why file-content needs a policy

This tool performs read-only operations—it downloads and retrieves file content without creating, modifying, deleting, or executing any operations. The stated purposes (reviewing, verifying, extracting) are all non-destructive, informational activities. Even in a vector store context, retrieving file content poses minimal risk compared to write, delete, or execute operations available on this server.

From the tool's definition Tool name 'file-content' combined with description 'Download and retrieve the actual content of an uploaded file' and 'reviewing file contents, verifying uploads, or extracting text for analysis' indicates data retrieval without modification.

Documented attack patterns abuse exactly the kind of access file-content gives an agent:

How to control file-content

PolicyLayer is an MCP gateway — it sits between your AI agents and Universal OpenAI Vector Store MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for file-content:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "file-content": {}
  }
}

file-content is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Universal OpenAI Vector Store MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

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Related tools and policies

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Questions about file-content

What does the file-content tool do? +

Download and retrieve the actual content of an uploaded file. Perfect for reviewing file contents, verifying uploads, or extracting text for analysis. It is categorised as a Read tool in the Universal OpenAI Vector Store MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on file-content? +

Register the Universal OpenAI Vector Store MCP Server MCP server in PolicyLayer and add a rule for file-content: 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 Universal OpenAI Vector Store MCP Server. Nothing to install.

What risk level is file-content? +

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

Can I rate-limit file-content? +

Yes. Add a rate_limit block to the file-content 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 file-content completely? +

Set action: deny in the PolicyLayer policy for file-content. 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 file-content? +

file-content is provided by the Universal OpenAI Vector Store MCP Server MCP server (jezweb/openai-vector-assistant-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Universal OpenAI Vector Store MCP Server tool call.

Start from Universal OpenAI Vector Store MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

21 Universal OpenAI Vector Store MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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