Query outcome events with optional aggregation. Use to find patterns in pipeline history.
AI agents call knowledge_query_outcomes to retrieve information from Ralph Hero without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes historical outcome event data from the GitHub Projects V2 workflow. The use of 'query' combined with 'find patterns in pipeline history' indicates a read-only operation that aggregates existing data without side effects. No mutations, deletions, code execution, or financial operations are described, making this a straightforward Read classification with low severity.
From the tool's definition Tool name and description indicate 'Query' and 'find patterns' in historical data, with no modification or destructive operations mentioned.
Attacks that exploit this kind of access
Query outcome events with optional aggregation. Use to find patterns in pipeline history. It is categorised as a Read tool in the Ralph Hero MCP Server, which means it retrieves data without modifying state.
Register the Ralph Hero MCP server in PolicyLayer and add a rule for knowledge_query_outcomes: 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 Ralph Hero. Nothing to install.
knowledge_query_outcomes 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 knowledge_query_outcomes 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 knowledge_query_outcomes. 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.
knowledge_query_outcomes is provided by the Ralph Hero MCP server (ralph-hero-mcp-server). 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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