AI agents invoke create_embeddings to trigger actions in Telnyx MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Based on the name alone, 'create_embeddings' likely triggers a computation/API call to generate vector embeddings from input data, which is an execution operation. Given the server context (Telnyx AI assistant APIs and embeddings mentioned in server description), this is likely an Execute-category operation. However, the empty description significantly lowers confidence.
From the tool's definition Tool name 'create_embeddings'; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access create_embeddings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Telnyx MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_embeddings:
{
"version": "1",
"default": "deny",
"tools": {
"create_embeddings": {
"limits": [
{
"counter": "create_embeddings_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}create_embeddings stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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create_embeddings. It is categorised as a Execute tool in the Telnyx MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Telnyx MCP Server MCP server in PolicyLayer and add a rule for create_embeddings: 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 Telnyx MCP Server. Nothing to install.
create_embeddings is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the create_embeddings 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.
Set action: deny in the PolicyLayer policy for create_embeddings. 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.
create_embeddings is provided by the Telnyx MCP Server MCP server (team-telnyx/telnyx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Telnyx MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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46 Telnyx MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.