plan_refactoring
Preview any refactoring (rename, move, extract, signature) without applying. Returns all edits as {old_text, new_text} pairs. Read-only (does not modify files). Use to review the blast radius before calling apply_rename, apply_move, change_signature, or extract_function. Returns JSON: { success, ...
This record as markdown: /tools/nikolai-vysotskyi-trace-mcp/plan-refactoring.md
What plan_refactoring does on Trace
AI agents call plan_refactoring 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_refactoring is rated Low
The tool explicitly states it is read-only and does not modify files. It only previews what changes would be made and returns a JSON description of potential edits, making it a pure Read operation with minimal risk.
From the tool's definition Preview any refactoring...without applying. Returns all edits as {old_text, new_text} pairs. Read-only (does not modify files).
Attacks that exploit this kind of access
The rule that runs plan_refactoring 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_refactoring, this is the rule to start with:
plan_refactoring 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_refactoring call is checked against it from then on.
Questions about plan_refactoring
Preview any refactoring (rename, move, extract, signature) without applying. Returns all edits as {old_text, new_text} pairs. Read-only (does not modify files). Use to review the blast radius before calling apply_rename, apply_move, change_signature, or extract_function. Returns JSON: { success, type, edits: [{ file, old_text, new_text }], filesAffected }. 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_refactoring: 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_refactoring 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_refactoring 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_refactoring. 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_refactoring 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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