Apply multiple ordered edits against one target buffer with one initial changed-tick check. useLatestChangedTick is current-buffer-only; useLatestSessionChangedTick works for explicit path targets or already-open explicit bufferId targets in the editor session.
AI agents use apply_edit_batch to create or update resources in Vigentic MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vigentic MCP environment.
This tool creates or modifies data reversibly within editor buffers. It does not delete data (which would be Destructive), execute arbitrary code (Execute), or perform financial operations. Multiple edits could affect code structure, but changes remain reversible through undo/checkpoint mechanisms visible in sibling tools (create_checkpoint, discard_buffer_changes).
From the tool's definition Tool applies multiple ordered edits against a target buffer. The description explicitly states it modifies buffer content through edits. Key phrases: 'Apply multiple ordered edits', 'changed-tick check' indicating modification tracking.
Attacks that exploit this kind of access
Apply multiple ordered edits against one target buffer with one initial changed-tick check. useLatestChangedTick is current-buffer-only; useLatestSessionChangedTick works for explicit path targets or already-open explicit bufferId targets in the editor session. It is categorised as a Write tool in the Vigentic MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vigentic MCP server in PolicyLayer and add a rule for apply_edit_batch: 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 Vigentic MCP. Nothing to install.
apply_edit_batch is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the apply_edit_batch 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 apply_edit_batch. 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.
apply_edit_batch is provided by the Vigentic MCP server (munozu/vigentic-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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