Purpose: Daily validation history of Level 2 structure predictions. Each row shows the hit_rate for a specific day, enabling time-series verification of sustained performance. When to call: after get_structure_calibration. Prerequisites: none. Next steps: get_monthly_accuracy_trend for the macro-...
Part of the OneQAZ Trading Intelligence server.
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AI agents call get_structure_validation_history 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 get_structure_validation_history 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": {
"get_structure_validation_history": {}
}
}See the full OneQAZ Trading Intelligence policy for all 32 tools.
These attack patterns abuse exactly the kind of access get_structure_validation_history 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: Daily validation history of Level 2 structure predictions. Each row shows the hit_rate for a specific day, enabling time-series verification of sustained performance. When to call: after get_structure_calibration. Prerequisites: none. Next steps: get_monthly_accuracy_trend for the macro-level comparison. Caveats: returns an overall_hit_rate summary across the window. Args: market_id: Optional market filter days: Lookback window in days (default 90) 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 get_structure_validation_history: 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.
get_structure_validation_history 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 get_structure_validation_history 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 get_structure_validation_history. 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.
get_structure_validation_history 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.
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