Low Risk

GetTimeSeriesDema

The Double Exponential Moving Average (DEMA) is a more responsive moving average that reduces lag by giving more weight to recent price data, helping traders identify trends and potential entry or exit points.

How to control GetTimeSeriesDema ↓

AI agents call GetTimeSeriesDema to retrieve information from Twelve Data MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves and computes a technical indicator (DEMA) from financial time series data. It performs a read-only operation that queries and processes historical market data to return analytical results. There is no data modification, deletion, execution of arbitrary code, or financial transaction involved. The tool supports decision-making but does not itself execute trades or move money.

From the tool's definition Tool name 'GetTimeSeriesDema' and description 'reduces lag by giving more weight to recent price data, helping traders identify trends' indicate retrieval and calculation of historical technical analysis data without modification, deletion, or financial…

Documented attack patterns abuse exactly the kind of access GetTimeSeriesDema gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Twelve Data MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for GetTimeSeriesDema:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "GetTimeSeriesDema": {}
  }
}

GetTimeSeriesDema 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 Twelve Data 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.
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Go deeper

What does the GetTimeSeriesDema tool do? +

The Double Exponential Moving Average (DEMA) is a more responsive moving average that reduces lag by giving more weight to recent price data, helping traders identify trends and potential entry or exit points. It is categorised as a Read tool in the Twelve Data MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on GetTimeSeriesDema? +

Register the Twelve Data MCP Server MCP server in PolicyLayer and add a rule for GetTimeSeriesDema: 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 Twelve Data MCP Server. Nothing to install.

What risk level is GetTimeSeriesDema? +

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

Can I rate-limit GetTimeSeriesDema? +

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

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

GetTimeSeriesDema is provided by the Twelve Data MCP Server MCP server (twelvedata/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Twelve Data MCP Server tool call.

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186 Twelve Data MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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