Low Risk

get_suggested_questions

Auto-generated, prioritized review questions derived from the analyses we already cache (untested framework entry points, circular imports, ast-clone clusters, dead-export drift, untested-but-exported symbols). Use during PR review to surface

How to control get_suggested_questions ↓

AI agents call get_suggested_questions to retrieve information from Trace without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool queries cached analysis results to generate and return review questions. It performs no mutations, does not execute code or commands, and has no side effects beyond returning information. It is a pure read operation that retrieves preprocessed analysis data to support code review workflows.

From the tool's definition Tool name 'get_suggested_questions' and description indicating it retrieves 'auto-generated, prioritized review questions derived from the analyses we already cache'.

Documented attack patterns abuse exactly the kind of access get_suggested_questions gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Trace, and nothing reaches the server without passing your rules. This is the rule we recommend for get_suggested_questions:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_suggested_questions": {}
  }
}

get_suggested_questions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Trace — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the get_suggested_questions tool do? +

Auto-generated, prioritized review questions derived from the analyses we already cache (untested framework entry points, circular imports, ast-clone clusters, dead-export drift, untested-but-exported symbols). Use during PR review to surface. It is categorised as a Read tool in the Trace MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_suggested_questions? +

Register the Trace MCP server in PolicyLayer and add a rule for get_suggested_questions: 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.

What risk level is get_suggested_questions? +

get_suggested_questions is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_suggested_questions? +

Yes. Add a rate_limit block to the get_suggested_questions 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.

How do I block get_suggested_questions completely? +

Set action: deny in the PolicyLayer policy for get_suggested_questions. 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.

What MCP server provides get_suggested_questions? +

get_suggested_questions 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.

Enforce policy on every Trace tool call.

Deterministic rules across all 178 Trace tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

178 Trace tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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