Low Risk

timezone

Timezone intelligence using the IANA database (418 zones) built into Node.js. Returns current local time, UTC offset, DST status, and the long timezone name for any IANA timezone. Can also convert an ISO timestamp to one or more target timezones. Useful for scheduling agents, global operations, a...

Part of the The Stall server.

timezone 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 THE STALL →

Free to start. No card required.

AI agents call timezone to retrieve information from The Stall 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 timezone 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": {
    "timezone": {}
  }
}

See the full The Stall policy for all 105 tools.

Get this rule live on your own The Stall server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY THE STALL →

View all 105 tools →

These attack patterns abuse exactly the kind of access timezone 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 timezone only ever does what you allow.

SECURE THE STALL →

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

What does the timezone tool do? +

Timezone intelligence using the IANA database (418 zones) built into Node.js. Returns current local time, UTC offset, DST status, and the long timezone name for any IANA timezone. Can also convert an ISO timestamp to one or more target timezones. Useful for scheduling agents, global operations, and time-aware data enrichment. Zero external API calls — instant response.. It is categorised as a Read tool in the The Stall MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on timezone? +

Register the The Stall MCP server in PolicyLayer and add a rule for timezone: 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 The Stall. Nothing to install.

What risk level is timezone? +

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

Can I rate-limit timezone? +

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

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

timezone is provided by the The Stall MCP server (https://the-stall.intuitek.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every The Stall tool call.

Deterministic rules across all 105 The Stall 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.