Rank strategies by risk-adjusted metrics (Calmar ratio, return/MaxDD). Identifies strategies with best risk/reward profiles.
AI agents call get_risk_adjusted_rankings to retrieve information from Mcp Strategy Research Db without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and ranks pre-computed trading strategy metrics from the SQLite database. It performs data analysis (sorting/ranking by risk-adjusted metrics like Calmar ratio and return/MaxDD) on existing records with no side effects. No data is created, modified, deleted, or external code executed. The operation is purely informational, typical of Read category tools.
From the tool's definition Tool name contains 'get_' prefix and description states it 'Rank strategies' and 'Identifies' — both passive retrieval operations. The function queries and analyzes existing backtest data without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
Rank strategies by risk-adjusted metrics (Calmar ratio, return/MaxDD). Identifies strategies with best risk/reward profiles. It is categorised as a Read tool in the Mcp Strategy Research Db MCP Server, which means it retrieves data without modifying state.
Register the Mcp Strategy Research Db MCP server in PolicyLayer and add a rule for get_risk_adjusted_rankings: 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 Strategy Research Db. Nothing to install.
get_risk_adjusted_rankings 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_risk_adjusted_rankings 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_risk_adjusted_rankings. 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_risk_adjusted_rankings is provided by the Mcp Strategy Research Db MCP server (locupleto/mcp-strategy-research-db). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →