Timezone tools for agents: convert, world clock, offset, lookup, date math, holidays, slots. x402
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Average 3.9/5 across 9 of 9 tools scored.
Each tool has a clearly distinct purpose: conversion (single and batch), arithmetic, meeting scheduling, holiday checking, timezone lookup, current time, and offset. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., convert_batch, list_timezones, is_holiday). Minor variations like 'now_in' and 'tz_offset' still adhere to the pattern.
Nine tools is ideal for a timezone toolkit. Each tool serves a distinct and necessary function without being excessive or insufficient for the domain's scope.
The toolset covers all major timezone operations: conversion, arithmetic, current time, offset, discovery, holidays, and meeting slot calculation. No obvious gaps for common use cases.
convert_batchAInspectConvert a single instant into many IANA timezones at once — a world-clock view. Like convert_timezone, but 'to' is a list of target zones.
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | List of target IANA timezones. | |
| from | Yes | Source IANA timezone. | |
| datetime | Yes | ISO 8601 or natural language. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It does not disclose error handling, limits on the list size, performance implications, or the return format (especially important without an output schema).
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 extremely concise: two sentences that front-load the purpose and usage, with no extraneous words.
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 absence of an output schema, the description should explain the return format, but it does not. It also lacks behavioral details like supported datetime formats or error handling.
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?
Schema coverage is 100%, so baseline is 3. The description adds minimal value beyond what the schema provides; it clarifies that 'to' is a list of zones, but does not elaborate on datetime format or constraints.
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 verb 'convert' and the resource 'a single instant into many IANA timezones', and explicitly distinguishes from sibling 'convert_timezone' by noting the list parameter.
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?
It describes when to use the tool ('world-clock view' vs. single conversion) and names the alternative 'convert_timezone', but does not explicitly exclude cases or list prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
convert_timezoneAInspectConvert 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?
With no annotations provided, the description carries the full burden. It discloses input formats and return value details (converted datetime, UTC offset, zone abbreviation, DST flag) but does not mention potential pitfalls like handling of ambiguous times, invalid timezone names, or error behavior.
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 concise and front-loaded with the primary action. It consists of two sentences with no redundancy or wasted words.
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 tool's simplicity (3 required params, no enums, no output schema), the description covers the essential aspects: purpose, input formats, and what is returned. It is fairly complete but could be improved by noting error handling or prerequisites like valid timezone names.
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?
Schema description coverage is 100% with clear parameter descriptions. The tool description enhances this by providing an example of natural language input and explaining the return value, adding context beyond the schema. Baseline is 3, so this merits a 4.
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 verb 'Convert', the resource 'date/time', and the scope 'from one IANA timezone to another'. It also specifies acceptable input formats and what is returned, effectively distinguishing it from sibling tools like list_timezones or convert_batch.
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 conveys the tool's context (single conversion, specific input formats) but does not explicitly state when to use it versus alternatives like convert_batch or date_math. No direct 'when not to use' or exclusion criteria are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
date_mathAInspectTimezone-aware date arithmetic: add or subtract a duration to a datetime (days are calendar-based and DST-safe; hours and minutes are absolute), or compute the difference between two datetimes that may be in different zones.
| Name | Required | Description | Default |
|---|---|---|---|
| datetime | Yes | Base datetime: ISO 8601 or natural language. | |
| timezone | Yes | IANA timezone the base datetime is in. | |
| operation | Yes | What to compute: { type:'add', amount, unit } to add/subtract a duration, or { type:'diff', to_datetime, to_timezone? } for the difference between two datetimes. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
In the absence of annotations, the description adds value by disclosing behavioral traits: days are calendar-based and DST-safe, hours and minutes are absolute. This helps the agent understand edge cases, though authorization and rate limits are not mentioned.
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 a single sentence that efficiently conveys key points: timezone awareness, two operations, and subtle behavior (DST safety). It is concise and front-loaded with the main purpose, though slightly dense.
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 two operations and DST handling, but without an output schema, it fails to mention the return format or type. For a complex tool with nested parameters, this omission reduces completeness.
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?
Schema coverage is 100%, so baseline is 3. The description adds meaning by explaining that days are DST-safe and absolute for hours/minutes. This goes beyond the schema's property descriptions, which only list types and enums.
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 does timezone-aware date arithmetic with two operations: add/subtract duration and compute difference. It is specific about verb and resource but does not explicitly distinguish from sibling tools like convert_timezone or now_in, though the purpose is clear.
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 is provided on when to use this tool versus alternatives such as convert_timezone, now_in, or list_timezones. The description only states capabilities without contextual usage advice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
find_meeting_slotsAInspectFind working-hour time slots that overlap across participants in different timezones for a meeting of a given duration, excluding weekends and (when a country is given per participant) that person's public holidays. Free tier returns at most 1 slot; the paid endpoint returns every matching slot (see 'upgrade' in the response).
| Name | Required | Description | Default |
|---|---|---|---|
| duration | Yes | Meeting duration in minutes. | |
| date_range | Yes | Inclusive date window to search, e.g. { "start":"2026-07-13", "end":"2026-07-17" }. | |
| participants | Yes | The people to meet. Each participant is { timezone (IANA, required), working_hours? { start, end }, country? (ISO alpha-2) }. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses free-tier limitations (at most 1 slot) and exclusion of weekends and public holidays. However, it does not cover error behavior, response structure, or handling of missing slots. No annotations exist to compensate.
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 extremely concise: two sentences with no fluff, front-loading the core behavior and then adding the tier constraint. Every word earns its place.
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 tool's complexity (nested parameters, no output schema), the description covers all key aspects: purpose, exclusions, defaults, and tier behavior. Missing response format details, but overall sufficient for an agent to understand and use the tool.
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?
Schema coverage is 100% with detailed parameter descriptions. The description adds value by explaining tier limitations, holiday exclusion logic, and default working hours, surpassing the schema's depth.
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 finds overlapping working-hour time slots across participants in different timezones for a given duration, excluding weekends and public holidays. This distinguishes it from sibling tools like timezone converters or date math utilities.
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 implies usage for scheduling meetings but does not explicitly state when to use this tool versus alternatives. It lacks 'when not to use' guidance, relying on the tool name and sibling context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
is_holidayAInspectCheck whether a given date is a public holiday in a country (identified by its ISO 3166-1 alpha-2 code), and return the holiday name if so. Backed by an authoritative public-holiday dataset.
| Name | Required | Description | Default |
|---|---|---|---|
| date | Yes | Date "YYYY-MM-DD". | |
| country_code | Yes | ISO country code, e.g. "US", "ES", "IN". |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It states the tool checks for holidays and returns the name, and mentions the authoritative dataset. However, it omits the return format (e.g., raw boolean or object), error handling for invalid inputs, and any side effects. With no annotations, more detail would be beneficial.
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 extremely concise: two sentences front-loading the core functionality and a brief note on data source. No superfluous information. Every sentence adds value.
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 simple nature of the tool (2 params, no output schema, no annotations), the description adequately covers the what and why, but lacks specifics on the return structure (e.g., what is returned when not a holiday) and error messages. For a minimal tool, it is mostly complete but has some gaps.
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?
Both parameters are documented in the schema with descriptions for date format and country code (ISO alpha-2). The description reiterates this but adds no new parameter semantics beyond what schema provides. The mention of an authoritative dataset is contextual but not parameter-specific. Schema coverage is 100%, so a baseline of 3 is appropriate.
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 verb 'check' and the resource 'whether a date is a public holiday in a country'. It distinguishes from sibling tools like convert_timezone and date_math, which are about time/date conversion and math, not holidays. The purpose is unambiguous.
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 does not provide explicit guidance on when to use this tool versus alternatives like convert_timezone or date_math. While the tool's purpose is clear, an agent might benefit from context about when to choose this tool over other date-related tools. No 'when not to use' or comparisons are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_timezonesAInspectList or search valid IANA timezone identifiers, optionally filtered by a city, region or country substring (e.g. 'kolkata', 'america'). Use it to discover the exact identifier to pass to the other tools.
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Case-insensitive substring filter. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It describes the filter behavior but does not disclose response format, listing limits, or error handling. Acceptable for a simple list tool.
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?
Two sentences, no redundancy. Front-loaded with the core action and example. Every word adds value.
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 simple tool (1 optional param, no output schema, no annotations), the description adequately covers purpose and usage. Mentions connecting to other tools, fitting the system context. Could mention return format but not necessary.
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?
Schema coverage is 100% with a parameter description for 'query' as a case-insensitive substring filter. The description adds context by specifying possible filter types (city, region, country) and examples, enhancing understanding beyond the schema.
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?
Description clearly states the tool lists or searches IANA timezone identifiers, with optional substring filter. Includes concrete examples ('kolkata', 'america') and distinguishes it as a discovery tool for other tools.
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?
Explicitly says 'Use it to discover the exact identifier to pass to the other tools', providing clear context for when to use it. Does not specify when not to use, but sibling tools are conversion/datetime functions, so implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
lookup_timezoneAInspectResolve a city or country name to its IANA timezone(s) so you don't need the exact identifier — e.g. 'Delhi' -> 'Asia/Kolkata'. Use it first when you only have a place name.
| Name | Required | Description | Default |
|---|---|---|---|
| city_or_country | Yes | City or country name, or ISO country code. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description covers basic input-output behavior and gives an example, but does not address edge cases (e.g., multiple timezones for large countries) or error handling.
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?
Two concise sentences, no wasted words, front-loaded with the primary action and an example.
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 simplicity (1 param, no output schema, no annotations), the description is largely complete. Could note that multiple timezones may be returned for large countries.
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?
Schema coverage is 100% and description restates the parameter's purpose from the schema, adding only an illustrative example. Baseline score of 3 is appropriate.
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 resolves a city/country name to IANA timezone(s) with a concrete example, distinguishing it from sibling tools like list_timezones or convert_timezone.
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?
'Use it first when you only have a place name' provides clear when-to-use guidance. Lacks explicit when-not-to-use, but sibling context implies alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
now_inAInspectGet the current local time in an IANA timezone, including the UTC offset, zone abbreviation and whether DST is in effect. Use whenever you need to know what time it is 'now' somewhere.
| Name | Required | Description | Default |
|---|---|---|---|
| timezone | Yes | IANA timezone, e.g. 'Europe/Madrid', 'Asia/Kolkata'. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided. The description discloses that the tool returns the current time, UTC offset, zone abbreviation, and DST status. For a simple read-only lookup tool, this adequately describes behavior without missing critical details like side effects.
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 consists of two short sentences. The first sentence states the tool's operation and outputs, and the second provides usage context. No superfluous words, well-structured and front-loaded.
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?
For a simple tool with one parameter and no output schema, the description covers the return values (time, offset, abbreviation, DST) adequately. The tool's functionality is fully communicated without gaps.
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 input schema has 100% coverage with a single parameter described as 'IANA timezone, e.g. 'Europe/Madrid''. The description does not add extra semantics beyond the schema's description. With high schema coverage, baseline 3 is appropriate.
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 current local time in an IANA timezone, including UTC offset, zone abbreviation, and DST status. This is specific and distinguishes it from sibling tools like 'convert_timezone' or 'list_timezones' which handle different time operations.
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 explicitly states 'Use whenever you need to know what time it is 'now' somewhere.' This provides clear context for when to use the tool. No explicit when-not or alternatives are given, but the guidance is sufficient given the tool's simplicity.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tz_offsetAInspectGet the exact UTC offset of an IANA timezone at a given instant, DST-aware. Correctly handles fractional offsets such as India +05:30 and Nepal +05:45.
| Name | Required | Description | Default |
|---|---|---|---|
| instant | No | ISO 8601 or natural language. Defaults to now. | |
| timezone | Yes | IANA timezone. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses DST awareness and fractional offset handling, adding value beyond the schema. However, it omits details on error handling, return format, or behavior with invalid inputs, limiting transparency.
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?
Two concise sentences: first states core purpose and behavior, second highlights an important edge case. No redundant words; each sentence earns its place.
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?
No output schema is provided, so the description should clarify return values. It implies the offset format via examples but does not explicitly state it. Parameter coverage is good, but missing error behavior or return format details make it slightly incomplete for a tool with no annotations or output schema.
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?
Schema coverage is 100%, so baseline is 3. The description adds context by mentioning DST awareness (relating to instant) and fractional offsets (relating to timezone), providing some additional meaning beyond the parameter descriptions.
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 gets the exact UTC offset of an IANA timezone at an instant, DST-aware. It distinguishes from sibling tools like convert_timezone or list_timezones by focusing on offset retrieval, and includes specific examples of fractional offsets.
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 implies usage for getting UTC offsets but does not explicitly provide guidance on when to use this tool versus alternatives like convert_timezone, or any exclusions. No when-not or alternative references are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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