Fetch the full results of a completed Disco run. Returns discovered patterns (with conditions, p-values, novelty scores, citations), feature importance scores, a summary with key insights, column statistics, and suggestions for what to explore next. The response includes a dashboard_urls object w...
Risk signalsHandles credentials or secrets (api_key)
Part of the Discovery Engine server.
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AI agents call discovery_get_results to retrieve information from Discovery Engine 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 discovery_get_results 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": {
"discovery_get_results": {}
}
}See the full Discovery Engine policy for all 14 tools.
These attack patterns abuse exactly the kind of access discovery_get_results 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.
Fetch the full results of a completed Disco run. Returns discovered patterns (with conditions, p-values, novelty scores, citations), feature importance scores, a summary with key insights, column statistics, and suggestions for what to explore next. The response includes a dashboard_urls object with direct links to each page of the interactive report — use these to direct the user to the most relevant view: - summary: AI-generated overview with key insights, novel findings, and plain-language explanation of the most important findings - patterns: Full list of discovered patterns with conditions, effect sizes, p-values, novelty scores, citations, and interactive visualisations - features: Feature importances, feature statistics and distribution plots, and correlation matrix - territory: Interactive 3D map showing how patterns select different regions of the data Only call this after discovery_status returns "completed". Args: run_id: The run ID returned by discovery_analyze. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.. It is categorised as a Read tool in the Discovery Engine MCP Server, which means it retrieves data without modifying state.
Register the Discovery Engine MCP server in PolicyLayer and add a rule for discovery_get_results: 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 Discovery Engine. Nothing to install.
discovery_get_results 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 discovery_get_results 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 discovery_get_results. 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.
discovery_get_results is provided by the Discovery Engine MCP server (leap-laboratories/discovery-engine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Discovery Engine tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.