Low Risk

suggest_queries

Onboarding helper: shows top imported files, most connected symbols (PageRank), language stats, and example tool calls. Call this first when exploring an unfamiliar project. For a structured project map use get_project_map instead. Read-only. Returns JSON: { topFiles, topSymbols, languageStats, e...

How to control suggest_queries ↓

AI agents call suggest_queries 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

suggest_queries performs pure data retrieval and analysis of project metadata. It displays statistics and example tool calls without modifying any code, configuration, or project state. The explicit 'Read-only' designation confirms no write, execute, or destructive operations occur.

From the tool's definition Tool description explicitly states 'Read-only' and 'Onboarding helper' that 'shows' information (topFiles, topSymbols, languageStats, exampleQueries). Operations are: retrieves/queries data with no side effects.

Documented attack patterns abuse exactly the kind of access suggest_queries 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 suggest_queries:

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

suggest_queries 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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Go deeper

What does the suggest_queries tool do? +

Onboarding helper: shows top imported files, most connected symbols (PageRank), language stats, and example tool calls. Call this first when exploring an unfamiliar project. For a structured project map use get_project_map instead. Read-only. Returns JSON: { topFiles, topSymbols, languageStats, exampleQueries }. 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 suggest_queries? +

Register the Trace MCP server in PolicyLayer and add a rule for suggest_queries: 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 suggest_queries? +

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

Can I rate-limit suggest_queries? +

Yes. Add a rate_limit block to the suggest_queries 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 suggest_queries completely? +

Set action: deny in the PolicyLayer policy for suggest_queries. 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 suggest_queries? +

suggest_queries 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.

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

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