Purpose: Aggregate paper trades by day / pattern / symbol. When to call: pattern audits, period-over-period performance review. Prerequisites: get_trade_history recommended for raw rows first. Next steps: market://{market_id}/signals/feedback for the upstream signals. Caveats: max 30 days; empty ...
Part of the OneQAZ Trading Intelligence server.
Free to start. No card required.
AI agents call analyze_trades to retrieve information from OneQAZ Trading Intelligence without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though analyze_trades only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"analyze_trades": {}
}
}See the full OneQAZ Trading Intelligence policy for all 32 tools.
These attack patterns abuse exactly the kind of access analyze_trades gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Purpose: Aggregate paper trades by day / pattern / symbol. When to call: pattern audits, period-over-period performance review. Prerequisites: get_trade_history recommended for raw rows first. Next steps: market://{market_id}/signals/feedback for the upstream signals. Caveats: max 30 days; empty result when no trades in the window. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) days: Analysis period in days (default 7, max 30) Disclaimer: Information only, not investment advice.. It is categorised as a Read tool in the OneQAZ Trading Intelligence MCP Server, which means it retrieves data without modifying state.
Register the OneQAZ Trading Intelligence MCP server in PolicyLayer and add a rule for analyze_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 OneQAZ Trading Intelligence. Nothing to install.
analyze_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 analyze_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 analyze_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.
analyze_trades is provided by the OneQAZ Trading Intelligence MCP server (pypi:oneqaz-trading-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 OneQAZ Trading Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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