hatch_add_boundary

为已有填充对象添加外边界环。

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-boundary.md

WHAT IT DOES

What hatch_add_boundary does on Pypi:best Cad

AI agents use hatch_add_boundary 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_boundary is rated Medium

This tool creates or modifies existing hatch objects by adding boundary loops, which is a reversible change to drawing data. It does not delete, execute arbitrary code, or cause irreversible damage. Write category is appropriate because the modification can be undone (typical CAD undo functionality).

From the tool's definition Tool name 'hatch_add_boundary' and description indicate it adds boundary loops to existing hatch objects. The Chinese description '为已有填充对象添加外边界环' translates to 'add outer boundary loop to existing hatch objects.' This modifies the properties of existing CAD…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs hatch_add_boundary 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_boundary, this is the rule to start with:

hatch_add_boundary Rate-limited

hatch_add_boundary 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_boundary": {
      "limits": [
        {
          "counter": "hatch_add_boundary_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_boundary call is checked against it from then on.

FAQ

Questions about hatch_add_boundary

What does the hatch_add_boundary tool do? +

为已有填充对象添加外边界环。. 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_boundary? +

Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for hatch_add_boundary: 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_boundary? +

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

Can I rate-limit hatch_add_boundary? +

Yes. Add a rate_limit block to the hatch_add_boundary 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_boundary completely? +

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

hatch_add_boundary 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.

KEEP EXPLORING

More on Pypi:best Cad, and thousands of servers like it.

This server

All 321 Pypi:best Cad tools →

Across the catalogue

add-tag on Kanban MCP Server →kb_add on Persistent Kb →add_video on Mcptube Vision → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →