apply_patch

Apply a unified diff / patch to a working directory using git apply (dry-run checked, paths validated, backups kept). Returns the resulting diff.

SERVERLocalAnt SOURCEyuga-hashimoto/localant

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/yuga-hashimoto-localant/apply-patch.md

WHAT IT DOES

What apply_patch does on LocalAnt

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

RISK

Why apply_patch is rated Medium

apply_patch modifies files in a working directory (Write category), making it neither Read (no retrieval-only) nor Destructive (has backups and dry-run safeguards, changes are reversible). Severity is high because an AI agent could apply malicious patches to introduce code vulnerabilities, alter configurations, or corrupt the codebase.

From the tool's definition Tool applies unified diffs/patches to a working directory; modifies files reversibly. Description explicitly states 'dry-run checked, paths validated, backups kept', confirming changes are made to the filesystem and can be undone via backups or git operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs apply_patch safely

PolicyLayer is an MCP gateway: it sits between your AI agents and LocalAnt, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply_patch, this is the rule to start with:

apply_patch Rate-limited

apply_patch 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": {
    "apply_patch": {
      "limits": [
        {
          "counter": "apply_patch_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect LocalAnt, apply this rule, and every apply_patch call is checked against it from then on.

FAQ

Questions about apply_patch

What does the apply_patch tool do? +

Apply a unified diff / patch to a working directory using git apply (dry-run checked, paths validated, backups kept). Returns the resulting diff. It is categorised as a Write tool in the LocalAnt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on apply_patch? +

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

What risk level is apply_patch? +

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

Can I rate-limit apply_patch? +

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

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

apply_patch is provided by the LocalAnt MCP server (yuga-hashimoto/localant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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