This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/scale-entity.md
What scale_entity does on Pypi:best Cad
AI agents use scale_entity 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 scale_entity is rated Medium
This tool modifies an existing CAD entity by scaling it up or down. This is a reversible modification (Write), as the entity still exists but with changed dimensions. It does not delete, execute code, or involve financial transactions. Misuse could distort drawings but effects are recoverable.
From the tool's definition 缩放实体(等比放大或缩小) — 'scale entity' (proportionally enlarge or shrink)
Attacks that exploit this kind of access
The rule that runs scale_entity 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 scale_entity, this is the rule to start with:
scale_entity 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 scale_entity call is checked against it from then on.
Questions about scale_entity
缩放实体(等比放大或缩小)。. 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 scale_entity: 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.
scale_entity 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 scale_entity 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 scale_entity. 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.
scale_entity 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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