Get StratProof's research-lab findings — aggregated output from 7,000+ strategy candidates tested by the adaptive research engine. Returns the list of graduated strategies (those that passed all 5 validation gates) with their backtest stats (avg P&L, win rate, Sharpe, deflated Sharpe fluke probab...
Part of the StratProof server.
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AI agents call get_research_findings to retrieve information from StratProof 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_research_findings 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_research_findings": {}
}
}See the full StratProof policy for all 6 tools.
These attack patterns abuse exactly the kind of access get_research_findings 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.
Get StratProof's research-lab findings — aggregated output from 7,000+ strategy candidates tested by the adaptive research engine. Returns the list of graduated strategies (those that passed all 5 validation gates) with their backtest stats (avg P&L, win rate, Sharpe, deflated Sharpe fluke probability). StratProof publishes losers AND winners; this tool returns both categories. Use this when a user asks "what strategies actually work" or wants to compare their idea to what the research lab has already found.. It is categorised as a Read tool in the StratProof MCP Server, which means it retrieves data without modifying state.
Register the StratProof MCP server in PolicyLayer and add a rule for get_research_findings: 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 StratProof. Nothing to install.
get_research_findings 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_research_findings 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_research_findings. 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_research_findings is provided by the StratProof MCP server (pmort2222/stratproof). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 StratProof tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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