hatch_add_inner_loop

向已有填充对象添加内部环（孤岛/空洞）。

SERVERPypi:best Cad SOURCEpypi:best-cad-mcp

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/io-github-lokmenower-best-cad-mcp/hatch-add-inner-loop.md

WHAT IT DOES

What hatch_add_inner_loop does on Pypi:best Cad

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

RISK

Why hatch_add_inner_loop is rated Medium

This tool modifies an existing hatch object by adding an inner loop/void pattern. This is a reversible write operation that alters drawing geometry but does not execute arbitrary code or irreversibly delete data. The blast radius is medium because incorrect inner loops could corrupt drawing structure or require manual repair, but the modification can be undone via undo commands in CAD.

From the tool's definition Tool name 'hatch_add_inner_loop' and description 'adds inner loop (island/void) to existing hatch object' indicates modification of an existing drawing element.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs hatch_add_inner_loop safely

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

hatch_add_inner_loop Rate-limited

hatch_add_inner_loop 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": {
    "hatch_add_inner_loop": {
      "limits": [
        {
          "counter": "hatch_add_inner_loop_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 Pypi:best Cad, apply this rule, and every hatch_add_inner_loop call is checked against it from then on.

FAQ

Questions about hatch_add_inner_loop

What does the hatch_add_inner_loop tool do? +

向已有填充对象添加内部环（孤岛/空洞）。. It is categorised as a Write tool in the Pypi:best Cad MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on hatch_add_inner_loop? +

Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for hatch_add_inner_loop: 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 Pypi:best Cad. Nothing to install.

What risk level is hatch_add_inner_loop? +

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

Can I rate-limit hatch_add_inner_loop? +

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

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

hatch_add_inner_loop is provided by the Pypi:best Cad MCP server (pypi:best-cad-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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