Analyze market depth and liquidity to optimize order entry and execution. Use this tool when you need to: - Assess true liquidity before placing large orders - Identify potential support/resistance levels from order clusters - Determine optimal limit order prices for higher fill probability - Det...
AI agents call paradex_orderbook to retrieve information from Paradex MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
depth | integer | — | The depth of the orderbook to retrieve. |
market_id | string | — | Market symbol to get orderbook for. |
Parameters from the server's own tool schema.
This tool queries market data to inform trading decisions but does not execute trades, modify positions, or move funds. It is purely informational (Read category). Severity is low because misuse only provides suboptimal analysis without direct financial harm or unintended transactions.
From the tool's definition Tool retrieves and analyzes market orderbook data: 'Analyze market depth and liquidity', 'Assess true liquidity', 'Identify potential support/resistance levels', 'Determine optimal limit order prices'.
Documented attack patterns abuse exactly the kind of access paradex_orderbook gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Paradex MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for paradex_orderbook:
{
"version": "1",
"default": "deny",
"tools": {
"paradex_orderbook": {}
}
}paradex_orderbook is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze market depth and liquidity to optimize order entry and execution. Use this tool when you need to: - Assess true liquidity before placing large orders - Identify potential support/resistance levels from order clusters - Determine optimal limit order prices for higher fill probability - Detect order imbalances that might signal price direction Understanding the orderbook is essential for effective trade execution, especially for larger orders or in less liquid markets. Example use cases: - Finding the optimal limit price to ensure your order gets filled - Estimating potential slippage for market orders of different sizes - Identifying large resting orders that might act as support/resistance - Detecting order book imbalances that could predict short-term price moves. It is categorised as a Read tool in the Paradex MCP Server MCP Server, which means it retrieves data without modifying state.
paradex_orderbook accepts 2 parameters: depth, market_id. The full parameter table on this page comes from the server's own tool schema.
Register the Paradex MCP Server MCP server in PolicyLayer and add a rule for paradex_orderbook: 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 Paradex MCP Server. Nothing to install.
paradex_orderbook is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the paradex_orderbook 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 paradex_orderbook. 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.
paradex_orderbook is provided by the Paradex MCP Server MCP server (tradeparadex/mcp-paradex-py). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 16 Paradex MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
16 Paradex MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.