add_hatch

A write tool on the Pypi:best Cad MCP server.

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/add-hatch.md

WHAT IT DOES

What add_hatch does on Pypi:best Cad

AI agents use add_hatch 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 add_hatch is rated Medium

Adding hatches to CAD drawings is a reversible modification that creates visual elements within the document. This is a Write operation (creates/modifies data reversibly) rather than Read (no retrieval), Execute (no arbitrary code/commands), Destructive (reversible), or Financial. Severity is medium because misuse could corrupt drawing aesthetics or structure, but changes can be undone.

From the tool's definition Tool name 'add_hatch' suggests adding/creating hatch patterns in AutoCAD drawings. No description provided, but the verb 'add' and context of CAD automation indicates a creation operation that modifies the drawing.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

add_hatch Rate-limited

add_hatch 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": {
    "add_hatch": {
      "limits": [
        {
          "counter": "add_hatch_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 add_hatch call is checked against it from then on.

FAQ

Questions about add_hatch

What does the add_hatch tool do? +

add_hatch is a write tool on the Pypi:best Cad MCP server. 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 add_hatch? +

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

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

Can I rate-limit add_hatch? +

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

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

add_hatch 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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