This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/reload-xref.md
What reload_xref does on Pypi:best Cad
AI agents invoke reload_xref to trigger actions in Pypi:best Cad. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why reload_xref is rated High
Reloading an external reference (xref) triggers an active operation that fetches and applies the latest content from an external source file into the current drawing. This is not a simple passive read — it executes a refresh/update action that modifies the drawing's state by pulling in external data, which could have cascading effects on the drawing.
From the tool's definition 重新加载外部参照(获取源文件的最新内容)— 'reload' of external reference, triggering an external file read and update operation within the CAD environment
Attacks that exploit this kind of access
The rule that runs reload_xref 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 reload_xref, this is the rule to start with:
reload_xref stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 reload_xref call is checked against it from then on.
Questions about reload_xref
重新加载外部参照(获取源文件的最新内容)。. It is categorised as a Execute tool in the Pypi:best Cad MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for reload_xref: 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.
reload_xref is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the reload_xref 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 reload_xref. 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.
reload_xref 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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