simulate_trade
Simulate a buy or sell trade to estimate how many tokens you
This record as markdown: /tools/0xzcov-omni-fun-mcp-server/simulate-trade.md
What simulate_trade does on Mcp Omnifun
AI agents invoke simulate_trade to trigger actions in Mcp Omnifun. 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.
Why simulate_trade is rated High
The tool simulates a trade execution, running a computation that models a buy or sell transaction. While it appears to only estimate outcomes (no actual funds moved), simulation tools often interact with on-chain state or external APIs to compute results, placing it in Execute. However, since no real financial transaction is committed, it does not rise to Financial.
From the tool's definition simulate_trade — 'Simulate a buy or sell trade to estimate how many tokens you'
Attacks that exploit this kind of access
The rule that runs simulate_trade safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Omnifun, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For simulate_trade, this is the rule to start with:
simulate_trade 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Omnifun, apply this rule, and every simulate_trade call is checked against it from then on.
Questions about simulate_trade
Simulate a buy or sell trade to estimate how many tokens you. It is categorised as a Execute tool in the Mcp Omnifun MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Omnifun MCP server in PolicyLayer and add a rule for simulate_trade: 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 Omnifun. Nothing to install.
simulate_trade 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 simulate_trade 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 simulate_trade. 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.
simulate_trade is provided by the Mcp Omnifun MCP server (0xzcov/omni-fun-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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