save_trace · MCPEmulate MCP: Risk & Policy

WHAT IT DOES

What save_trace does on MCPEmulate

AI agents use save_trace to create or update resources in MCPEmulate — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCPEmulate environment.

WHY IT NEEDS A POLICY

Why save_trace needs a policy

This tool creates and stores trace log artifacts. While not irreversible (traces could theoretically be overwritten), it modifies the emulation state by persisting execution traces. Within the MCPEmulate context of CPU emulation and code analysis, this represents a Write operation that could fill storage or overwrite previous analysis results if misused.

From the tool's definition Tool performs 'Save the current trace log under a label' — a write operation that creates/persists data (trace logs) in the emulation system.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

save_trace Rate-limited

save_trace stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "save_trace": {
      "limits": [
        {
          "counter": "save_trace_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCPEmulate, so you can run agents against it safely.

FAQ

Questions about save_trace

What does the save_trace tool do? +

Save the current trace log under a label. It is categorised as a Write tool in the MCPEmulate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_trace? +

Register the MCPEmulate MCP server in PolicyLayer and add a rule for save_trace: 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 MCPEmulate. Nothing to install.

What risk level is save_trace? +

save_trace is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save_trace? +

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

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

save_trace is provided by the MCPEmulate MCP server (labguy94/mcpemulate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.