add_spatial_annotation

A write tool on the Pypi:best Cad MCP server.

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/add-spatial-annotation.md

WHAT IT DOES

What add_spatial_annotation does on Pypi:best Cad

AI agents use add_spatial_annotation 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 add_spatial_annotation is rated Medium

The 'add_' prefix combined with context from sibling annotation/dimension tools indicates this creates or modifies drawing annotations reversibly. This is a Write operation (adding data to a CAD drawing), not Execute because it appears to be a structured data addition rather than arbitrary code execution. Severity is medium due to potential impact on CAD drawings but reversibility limits it from higher severity.

From the tool's definition Tool name 'add_spatial_annotation' with 'add_' prefix indicates modification of CAD drawing data. Sibling tools like 'add_hatch', 'add_hyperlink', 'add_3point_angular_dimension' all modify drawing content reversibly. Description is empty, reducing confidence.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

add_spatial_annotation Rate-limited

add_spatial_annotation 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": {
    "add_spatial_annotation": {
      "limits": [
        {
          "counter": "add_spatial_annotation_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 add_spatial_annotation call is checked against it from then on.

FAQ

Questions about add_spatial_annotation

What does the add_spatial_annotation tool do? +

add_spatial_annotation is a write tool on the Pypi:best Cad MCP server. 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 add_spatial_annotation? +

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

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

Can I rate-limit add_spatial_annotation? +

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

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

add_spatial_annotation 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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