get_risk_hotspots
Code hotspots: files with both high complexity AND high git churn (Adam Tornhill methodology). Score = complexity × log(1 + commits). Heuristic triage, not validated (calibration notes in _methodology). Requires git. For per-file bug-risk triage use predict_bugs instead. Read-only. Returns JSON: ...
This record as markdown: /tools/nikolai-vysotskyi-trace-mcp/get-risk-hotspots.md
What get_risk_hotspots does on Trace
AI agents call get_risk_hotspots 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 get_risk_hotspots is rated Low
Tool queries code metrics and git history to identify risk areas without modifying or executing code.
From the tool's definition hotspots analysis, read-only, returns JSON, heuristic triage
Attacks that exploit this kind of access
The rule that runs get_risk_hotspots 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 get_risk_hotspots, this is the rule to start with:
get_risk_hotspots 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 get_risk_hotspots call is checked against it from then on.
Questions about get_risk_hotspots
Code hotspots: files with both high complexity AND high git churn (Adam Tornhill methodology). Score = complexity × log(1 + commits). Heuristic triage, not validated (calibration notes in _methodology). Requires git. For per-file bug-risk triage use predict_bugs instead. Read-only. Returns JSON: { hotspots: [{ file, score, max_cyclomatic, commits, assessment, confidence_level }], total }. Supports. 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 get_risk_hotspots: 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.
get_risk_hotspots 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_risk_hotspots 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_risk_hotspots. 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_risk_hotspots 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.
More on Trace, and thousands of servers like it.
This server
Across the catalogue