Low Risk

plan_batch_change

Analyze the impact of updating a package/dependency. Shows all affected files, import references, and generates a PR template with checklist. Use before upgrading a dependency to understand blast radius. Read-only (analysis only, does not modify files). Returns JSON: { package, affectedFiles, imp...

How to control plan_batch_change ↓

AI agents call plan_batch_change 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

The tool explicitly states it is read-only and performs impact analysis only without modifying any files. It queries the dependency graph to show affected files and generates informational output (PR template, checklist), all of which are purely analytical with no side effects.

From the tool's definition Read-only (analysis only, does not modify files). Returns JSON with affectedFiles, importReferences, prTemplate, checklist.

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

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

plan_batch_change 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 plan_batch_change tool do? +

Analyze the impact of updating a package/dependency. Shows all affected files, import references, and generates a PR template with checklist. Use before upgrading a dependency to understand blast radius. Read-only (analysis only, does not modify files). Returns JSON: { package, affectedFiles, importReferences, prTemplate, checklist }. 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 plan_batch_change? +

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

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

Can I rate-limit plan_batch_change? +

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

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

plan_batch_change 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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