distance_to_real

将距离字符串解析为实数。

SERVERPypi:best Cad SOURCEpypi:best-cad-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/distance-to-real.md

WHAT IT DOES

What distance_to_real does on Pypi:best Cad

AI agents call distance_to_real to retrieve information from Pypi:best Cad without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why distance_to_real is rated Low

This tool performs a pure parsing/conversion operation: it takes a distance string and converts it to a real number. There are no side effects, no data modification, no execution of commands, and no destructive actions. It is a read/utility operation with low blast radius.

From the tool's definition 将距离字符串解析为实数 — 'parses a distance string into a real number'

Attacks that exploit this kind of access

RECOMMENDED RULE

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

distance_to_real Allowed

distance_to_real is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "distance_to_real": {}
  }
}

ALLOW ONLY 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 distance_to_real call is checked against it from then on.

FAQ

Questions about distance_to_real

What does the distance_to_real tool do? +

将距离字符串解析为实数。. It is categorised as a Read tool in the Pypi:best Cad MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on distance_to_real? +

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

distance_to_real is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit distance_to_real? +

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

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

distance_to_real 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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