hatch_set_gradient

将已有填充对象设置为渐变色填充。

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-set-gradient.md

WHAT IT DOES

What hatch_set_gradient does on Pypi:best Cad

AI agents use hatch_set_gradient 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_set_gradient is rated Medium

This tool modifies the properties of existing hatch objects in an AutoCAD drawing. It changes the visual appearance (fill type) of an element but does not delete data or execute arbitrary code. The modification is reversible by changing the fill type back to another pattern. This constitutes a Write operation rather than Destructive or Execute.

From the tool's definition The tool modifies existing hatch objects by changing their fill properties to gradient fill ('将已有填充对象设置为渐变色填充' = 'Set existing hatch objects to gradient fill'). This is a reversible modification operation on CAD drawing elements.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

hatch_set_gradient Rate-limited

hatch_set_gradient 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_set_gradient": {
      "limits": [
        {
          "counter": "hatch_set_gradient_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_set_gradient call is checked against it from then on.

FAQ

Questions about hatch_set_gradient

What does the hatch_set_gradient tool do? +

将已有填充对象设置为渐变色填充。. 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_set_gradient? +

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

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

Can I rate-limit hatch_set_gradient? +

Yes. Add a rate_limit block to the hatch_set_gradient 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_set_gradient completely? +

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

hatch_set_gradient 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

set-prioity on Kanban MCP Server →team_manager_set_sources on Team Manager MCP →qt_set_property on Qt → The MCP Attack Database →

Guides

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