generateEmbeddingGoogle · Medical MCP Server MCP

WHAT IT DOES

What generateEmbeddingGoogle does on Medical MCP Server

AI agents use generateEmbeddingGoogle to create or update resources in Medical MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Medical MCP Server environment.

WHY IT NEEDS A POLICY

Why generateEmbeddingGoogle needs a policy

The tool performs two operations: (1) generates a vector embedding via Google Gemini API (data transformation), and (2) stores the result in MongoDB (Write action). Since the tool explicitly stores data, it crosses into the Write category. Severity is medium rather than high because embeddings are typically non-sensitive intermediate representations, though the tool does write to a persistent data store.

From the tool's definition Tool description states 'store it in MongoDB' — this creates/writes vector embedding data to a database. The embedding generation itself is a data transformation operation, but the storage action constitutes data creation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generateEmbeddingGoogle Rate-limited

generateEmbeddingGoogle stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generateEmbeddingGoogle": {
      "limits": [
        {
          "counter": "generateembeddinggoogle_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Medical MCP Server, so you can run agents against it safely.

FAQ

Questions about generateEmbeddingGoogle

What does the generateEmbeddingGoogle tool do? +

Generate a vector embedding from text using Google Gemini and store it in MongoDB. It is categorised as a Write tool in the Medical MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generateEmbeddingGoogle? +

Register the Medical MCP Server MCP server in PolicyLayer and add a rule for generateEmbeddingGoogle: 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 Medical MCP Server. Nothing to install.

What risk level is generateEmbeddingGoogle? +

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

Can I rate-limit generateEmbeddingGoogle? +

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

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

generateEmbeddingGoogle is provided by the Medical MCP Server MCP server (kalyankumarkonduru/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.