Low Risk

windows

Windows-specific database optimisations

Part of the Pypi:basic Memory server.

windows is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE PYPI:BASIC MEMORY →

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AI agents call windows to retrieve information from Pypi:basic Memory without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though windows only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "windows": {}
  }
}

See the full Pypi:basic Memory policy for all 3 tools.

Get this rule live on your own Pypi:basic Memory server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY PYPI:BASIC MEMORY →

These attack patterns abuse exactly the kind of access windows gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so windows only ever does what you allow.

SECURE PYPI:BASIC MEMORY →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the windows tool do? +

Windows-specific database optimisations. It is categorised as a Read tool in the Pypi:basic Memory MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on windows? +

Register the Pypi:basic Memory MCP server in PolicyLayer and add a rule for windows: 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:basic Memory. Nothing to install.

What risk level is windows? +

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

Can I rate-limit windows? +

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

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

windows is provided by the Pypi:basic Memory MCP server (pypi:basic-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pypi:basic Memory tool call.

Deterministic rules across all 3 Pypi:basic Memory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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