add_leader

绘制引线标注（带箭头的指引线 + 可选文字注释）。

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-leader.md

WHAT IT DOES

What add_leader does on Pypi:best Cad

AI agents use add_leader 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_leader is rated Medium

This tool creates new graphical elements (leader lines with annotations) in an AutoCAD drawing, which is a reversible write operation. It does not execute arbitrary code, delete data permanently, or move financial assets. The blast radius is moderate because incorrect annotations could require manual cleanup, but the operation itself is undoable in CAD applications.

From the tool's definition Tool draws/adds a leader annotation (arrow-pointed leader line + optional text annotation) to a CAD drawing. The description indicates it creates new drawing elements that are reversible modifications to the document.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

add_leader Rate-limited

add_leader 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_leader": {
      "limits": [
        {
          "counter": "add_leader_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_leader call is checked against it from then on.

FAQ

Questions about add_leader

What does the add_leader tool do? +

绘制引线标注（带箭头的指引线 + 可选文字注释）。. 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_leader? +

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

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

Can I rate-limit add_leader? +

Yes. Add a rate_limit block to the add_leader 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_leader completely? +

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

add_leader 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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