create_embedding

Create vector embeddings for text input

SERVERClaude MCP Server Ecosystem SOURCEcoder-rl/claude_mcpserver_dev1

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/coder-rl-claude-mcpserver-dev1/create-embedding.md

WHAT IT DOES

What create_embedding does on Claude MCP Server Ecosystem

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

RISK

Why create_embedding is rated Medium

This tool creates new data artifacts (embeddings) that persist in the vector database. While embeddings themselves are not sensitive in isolation, they represent processed information that modifies the state of the vector store. The severity is medium rather than high because embedding creation is generally reversible (can be deleted) and does not directly expose sensitive data or enable destructive operations.

From the tool's definition Tool name 'create_embedding' and description 'Create vector embeddings for text input' indicate data creation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_embedding safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Claude MCP Server Ecosystem, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_embedding, this is the rule to start with:

create_embedding Rate-limited

create_embedding 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": {
    "create_embedding": {
      "limits": [
        {
          "counter": "create_embedding_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every create_embedding call is checked against it from then on.

FAQ

Questions about create_embedding

What does the create_embedding tool do? +

Create vector embeddings for text input. It is categorised as a Write tool in the Claude MCP Server Ecosystem MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_embedding? +

Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for create_embedding: 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 Claude MCP Server Ecosystem. Nothing to install.

What risk level is create_embedding? +

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

Can I rate-limit create_embedding? +

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

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

create_embedding is provided by the Claude MCP Server Ecosystem MCP server (coder-rl/claude_mcpserver_dev1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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