generate_insights_report
Single-call narrative health snapshot: god files (PageRank), architectural bridges (edge bottlenecks), risk hotspots (complexity × churn), edge resolution-tier breakdown, and gap counts (dead exports, untested, cycles). Aggregates already-computed metrics into ~2K tokens of Markdown plus a struct...
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What generate_insights_report does on Trace
AI agents call generate_insights_report to retrieve information from Trace without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why generate_insights_report is rated Low
The tool explicitly states it is read-only and only aggregates pre-computed metrics into a report. It queries and returns data without modifying, executing, or deleting anything.
From the tool's definition Read-only. Returns JSON: { generated_at, totals, resolution_tiers, god_files, bridges, hotspots, gaps, markdown }. 'Aggregates already-computed metrics' — no side effects described.
Attacks that exploit this kind of access
The rule that runs generate_insights_report safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Trace, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For generate_insights_report, this is the rule to start with:
generate_insights_report is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Trace, apply this rule, and every generate_insights_report call is checked against it from then on.
Questions about generate_insights_report
Single-call narrative health snapshot: god files (PageRank), architectural bridges (edge bottlenecks), risk hotspots (complexity × churn), edge resolution-tier breakdown, and gap counts (dead exports, untested, cycles). Aggregates already-computed metrics into ~2K tokens of Markdown plus a structured payload. Use at the start of a session to orient yourself instead of chaining get_pagerank + get_risk_hotspots + get_edge_bottlenecks + self_audit. Read-only. Returns JSON: { generated_at, totals, resolution_tiers, god_files, bridges, hotspots, gaps, markdown }. It is categorised as a Read tool in the Trace MCP Server, which means it retrieves data without modifying state.
Register the Trace MCP server in PolicyLayer and add a rule for generate_insights_report: 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 Trace. Nothing to install.
generate_insights_report 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 generate_insights_report 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 generate_insights_report. 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.
generate_insights_report is provided by the Trace MCP server (nikolai-vysotskyi/trace-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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