Convert a specific date/time from one IANA timezone to another. Accepts ISO 8601 or natural language ('next Tuesday 3pm'). Returns the converted datetime with its UTC offset, zone abbreviation and DST flag.
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | Target IANA timezone. | |
| from | Yes | Source IANA timezone. | |
| datetime | Yes | ISO 8601 or natural language, e.g. "2026-07-09T15:30" or "next Tuesday 3pm". |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states the return fields (converted datetime, UTC offset, zone abbreviation, DST flag), indicating it is a read-only conversion. However, it does not disclose potential side effects (none expected), error handling, or idempotency, leaving some transparency gaps.
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?
The description is two sentences, front-loaded with the core purpose. Every word adds value, and it efficiently covers purpose, input format, and output without redundancy.
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?
Given the lack of an output schema, the description explains the return values well. It covers input (datetime format, timezones) and output (converted time, offset, abbreviation, DST flag). It does not address error cases or rate limits, which is acceptable for a simple conversion tool. Overall, it is sufficiently complete.
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?
The schema already describes all three parameters at 100% coverage. The description adds the detail that 'datetime' accepts ISO 8601 or natural language, and that 'from'/'to' are IANA timezones, but this closely parallels the schema descriptions. The addition is helpful but not substantial enough to raise the score above the baseline of 3.
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 specifies the verb 'convert' and the resource 'date/time from one IANA timezone to another'. It distinguishes from sibling tools like list_timezones, now_in, and tz_offset by focusing on conversion rather than listing or current time.
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?
The description mentions that it accepts ISO 8601 or natural language, which gives usage context. However, it does not provide explicit guidance on when to use this tool versus alternatives like tz_offset or lookup_timezone, nor does it state when not to use it.
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.
Most tools target clearly distinct operations, and the descriptions carefully disambiguate the large timezone cluster (convert_timezone, convert_batch, now_in, tz_offset, list_timezones, lookup_timezone). The main sources of possible confusion are similar name stems like extract vs extract_entities and convert_timezone vs convert_batch, but their stated purposes are distinct enough.
There is a mix of conventions: many verb_noun names (convert_timezone, memory_search, list_timezones), bare verbs (chat, extract, summarize, price), noun-only names (status, qr_code), and odd forms like now_in and tz_offset. The set is readable but not predictable enough for a clear single naming pattern.
With 26 tools, the server exceeds the 25+ threshold for 'too many' and spans at least seven unrelated domains: AI text, time, currency, memory, web extraction, URLs, and webhooks. Each tool may earn its place individually, but the overall tool surface is broad and heavy for an agent to scan efficiently.
Timezone and text-processing workflows are well covered, but some subdomains have notable gaps: memory has upsert/search but no delete, currency only supports conversion without currency listing, and short-link/webhook areas lack management operations. The request_feature tool can surface missing capabilities, but it does not fill the gaps itself.