Aggregate debug log statistics. Reads JSONL logs and returns tool call counts, error rates, and average durations grouped by tool, category, or day. Returns: totalToolCalls, totalErrors, errorRate, sessionsAnalyzed, per-group breakdown.
AI agents call ralph_hero__debug_stats 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 purely retrieves and aggregates existing log data for analytical purposes. It performs read-only operations on debug logs and computes summary statistics. No side effects, state changes, or destructive actions occur. Low severity because misuse would only result in information disclosure about tool usage patterns, with no impact on system integrity or operations.
From the tool's definition Tool description states it 'Reads JSONL logs and returns' aggregated statistics (tool call counts, error rates, durations). The verbs are 'reads' and 'returns' — no modifications, deletions, or external operations are performed.
Attacks that exploit this kind of access
Aggregate debug log statistics. Reads JSONL logs and returns tool call counts, error rates, and average durations grouped by tool, category, or day. Returns: totalToolCalls, totalErrors, errorRate, sessionsAnalyzed, per-group breakdown. 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 ralph_hero__debug_stats: 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.
ralph_hero__debug_stats 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 ralph_hero__debug_stats 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 ralph_hero__debug_stats. 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.
ralph_hero__debug_stats 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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