This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/add-mleader.md
What add_mleader does on Pypi:best Cad
AI agents use add_mleader 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.
Why add_mleader is rated Medium
This tool creates new annotation objects (multi-leaders with text) in AutoCAD drawings. It modifies the drawing by adding new elements but does not delete, execute code, or cause irreversible changes beyond normal drawing edits. The action is reversible through standard undo operations.
From the tool's definition Tool name 'add_mleader' and description '绘制多重引线(现代化的引线标注,带文字和更好的格式)' (Draw multi-leader with modern leader annotation, text and better formatting) indicates creation of CAD annotations/drawings.
Attacks that exploit this kind of access
The rule that runs add_mleader 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_mleader, this is the rule to start with:
add_mleader 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:best Cad, apply this rule, and every add_mleader call is checked against it from then on.
Questions about add_mleader
绘制多重引线(现代化的引线标注,带文字和更好的格式)。. 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.
Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for add_mleader: 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.
add_mleader is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_mleader 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.
Set action: deny in the PolicyLayer policy for add_mleader. 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.
add_mleader 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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