current_zone_infoReturn timezone metadata for an IANA zone name: UTC offset, DST offset, current offset, DST start/end, and whether DST is currently active.
| Name | Required | Description | Default |
|---|---|---|---|
| timeZone | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / examplesAdded value: +[
+ {
+ "timeZone": "America/Los_Angeles"
+ },
+ {
+ "timeZone": "Europe/Paris"
+ }
+]Output schema / (root)Previous value: -nullNew value: +{
+ "description": "Timezone information",
+ "type": "object"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and openWorld hints. The description adds concrete details on the returned metadata (offsets, DST start/end, active status), providing transparency beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, no waste. Directly lists the information returned.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the key outputs. Given the output schema exists, it doesn't need to detail return structure. However, it could mention error handling or input validation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description carries full burden but only mentions 'IANA zone name'. It does not specify the expected format (e.g., 'America/New_York') or provide examples beyond the schema examples.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns timezone metadata for an IANA zone name, listing specific fields such as UTC offset, DST offset, etc. This differentiates it from sibling tools like convert_time_zone or list_zones.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like convert_time_zone. No explicit when-to-use or when-not-to-use context is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all answer natural-language data questions, and ask_pipeworx_beta is explicitly identical to ask_pipeworx right now. The current_time* variants and multiple Polymarket scanners also create real selection ambiguity, though the memory and subscription tools are clearly distinct.
Names are mostly lowercase snake_case and readable, but there is no consistent verb_noun pattern: some are imperative (ask_pipeworx, compare_entities, generate_llms_txt) while others are object-first (entity_profile, recent_changes, pipeworx_trending). Subfamilies like current_time* and polymarket_* are internally consistent, but the overall set follows no predictable convention.
Forty tools is far too many for a server named Timeapi Io; only about nine tools actually relate to time zones and current time. The rest form a sprawling Pipeworx research, prediction-market, memory, and subscription platform, making this a mega-bundle rather than a well-scoped toolset.
The time-related surface covers current time, zone conversion, zone metadata, and ISO parsing, but lacks common date math or general formatting operations. The Pipeworx side is quite complete for research and fact-checking, but the mixed domain makes coverage uneven and hard to reason about as a single coherent service.