AI agents call api_ultrade_market_last_trades to retrieve information from Algorand MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves past market trade information—a read-only operation with no side effects, no code execution, and no data modification. While the Algorand server includes many financial tools (orders, claims, trading), this specific tool merely fetches historical trade data. The low severity reflects minimal risk: querying market data cannot directly cause financial loss or unintended transactions.
From the tool's definition Tool name 'api_ultrade_market_last_trades' and description 'Get last trades' indicate a retrieval operation that queries historical trade data without modifying state or executing external operations.
Documented attack patterns abuse exactly the kind of access api_ultrade_market_last_trades gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Algorand MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for api_ultrade_market_last_trades:
{
"version": "1",
"default": "deny",
"tools": {
"api_ultrade_market_last_trades": {}
}
} api_ultrade_market_last_trades is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get last trades. It is categorised as a Read tool in the Algorand MCP MCP Server, which means it retrieves data without modifying state.
Register the Algorand MCP server in PolicyLayer and add a rule for api_ultrade_market_last_trades: 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 Algorand MCP. Nothing to install.
api_ultrade_market_last_trades 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 api_ultrade_market_last_trades 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 api_ultrade_market_last_trades. 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.
api_ultrade_market_last_trades is provided by the Algorand MCP server (goplausible/algorand-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Algorand MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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172 Algorand MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.