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...
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What plan_batch_change does on Trace
AI agents call plan_batch_change 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 plan_batch_change is rated Low
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.
Attacks that exploit this kind of access
The rule that runs plan_batch_change 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 plan_batch_change, this is the rule to start with:
plan_batch_change 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 plan_batch_change call is checked against it from then on.
Questions about 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, importReferences, prTemplate, checklist }. 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 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.
plan_batch_change 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 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.
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.
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.
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