save_named_view

将当前视图保存为命名视图（方便后续快速恢复视角）。

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/save-named-view.md

WHAT IT DOES

What save_named_view does on Pypi:best Cad

AI agents use save_named_view 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 save_named_view is rated Medium

This tool creates or stores a new named view configuration in the CAD drawing, which is a reversible modification of drawing metadata. It does not execute arbitrary code, delete data, or move money. The severity is medium because misuse could clutter the drawing with numerous saved views or potentially overwrite important view configurations, but the effect is reversible by deleting saved views.

From the tool's definition Tool name 'save_named_view' and description indicating it saves/stores the current view as a named view for later recovery ('将当前视图保存为命名视图（方便后续快速恢复视角）')

Attacks that exploit this kind of access

RECOMMENDED RULE

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

save_named_view Rate-limited

save_named_view 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": {
    "save_named_view": {
      "limits": [
        {
          "counter": "save_named_view_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 save_named_view call is checked against it from then on.

FAQ

Questions about save_named_view

What does the save_named_view tool do? +

将当前视图保存为命名视图（方便后续快速恢复视角）。. 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 save_named_view? +

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

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

Can I rate-limit save_named_view? +

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

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

save_named_view 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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