paradex_filters_model

THE RISK

Low Risk

Why paradex_filters_model needs a policy

With no description available, it's impossible to determine the tool's function with confidence. The name suggests it may relate to filtering or model configuration, which could be a Read or Write operation, but given the ambiguity, 'Other' is the safest classification. Confidence is low due to the lack of information.

From the tool's definition Tool description is empty and uninformative. The name 'paradex_filters_model' does not clearly indicate a financial, destructive, execute, write, or read operation.

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

POLICY

How to control paradex_filters_model

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "paradex_filters_model": {
      "limits": [
        {
          "counter": "paradex_filters_model_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

paradex_filters_model gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register MCP Paradex Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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All 26 MCP Paradex Server tools →

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about paradex_filters_model

What does the paradex_filters_model tool do? +

paradex_filters_model. It is categorised as a Other tool in the MCP Paradex Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on paradex_filters_model? +

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

What risk level is paradex_filters_model? +

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

Can I rate-limit paradex_filters_model? +

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

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

paradex_filters_model is provided by the MCP Paradex Server MCP server (sv/mcp-paradex-py). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Paradex Server tool call.

Start from MCP Paradex Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →