Aggregate performance by signal type. Shows which individual signals appear in the best-performing strategies.
AI agents call get_signal_performance_summary 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 aggregates backtest performance data grouped by signal type, then presents findings. It is a passive data retrieval operation with no side effects, no code execution, and no modifications to the database or trading positions. The context of analyzing historical backtest results further confirms this is a reporting/querying function only.
From the tool's definition Tool name contains 'get' and description states it 'shows' and aggregates data. All sibling tools follow read-only query patterns (compare, find, get, analyze). No keywords indicating modification (create, update, delete, execute) or irreversible operations.
Attacks that exploit this kind of access
Aggregate performance by signal type. Shows which individual signals appear in the best-performing strategies. 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_signal_performance_summary: 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_signal_performance_summary 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_signal_performance_summary 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_signal_performance_summary. 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_signal_performance_summary 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.
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