togetherai_create_embedding · UnClick MCP: Risk & Policy

WHAT IT DOES

What togetherai_create_embedding does on UnClick

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

PARAMETERS

Parameter	Type	Required	Description
`input`	object	Yes	Text string or array of strings to embed
`model`	string	—	Embedding model ID (e.g. togethercomputer/m2-bert-80M-8k-retrieval)
`api_key`	string	Yes	Together AI API key

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why togetherai_create_embedding needs a policy

An AI agent can call togetherai_create_embedding faster than any human can review — one bad instruction and it creates or modifies resources in UnClick by the hundred, each call as confident as the last.

Risk signalsHandles credentials or secrets (api_key)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

togetherai_create_embedding Rate-limited

togetherai_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": {
    "togetherai_create_embedding": {
      "limits": [
        {
          "counter": "togetherai_create_embedding_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 UnClick, so you can run agents against it safely.

FAQ

Questions about togetherai_create_embedding

What does the togetherai_create_embedding tool do? +

Create text embeddings using a Together AI embedding model. It is categorised as a Write tool in the UnClick MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does togetherai_create_embedding accept? +

togetherai_create_embedding accepts 3 parameters: input, model, api_key. Required: input, api_key. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on togetherai_create_embedding? +

Register the UnClick MCP server in PolicyLayer and add a rule for togetherai_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 UnClick. Nothing to install.

What risk level is togetherai_create_embedding? +

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

Can I rate-limit togetherai_create_embedding? +

Yes. Add a rate_limit block to the togetherai_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 togetherai_create_embedding completely? +

Set action: deny in the PolicyLayer policy for togetherai_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 togetherai_create_embedding? +

togetherai_create_embedding is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.