tz-asia-tokyo
Current local time in Asia/Tokyo.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | HTTPS URL to normalize or cite | |
| host | No | Public hostname | |
| json | No | JSON text to validate; discarded after the check | |
| zone | No | IANA timezone name |
Current local time in Asia/Tokyo.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | HTTPS URL to normalize or cite | |
| host | No | Public hostname | |
| json | No | JSON text to validate; discarded after the check | |
| zone | No | IANA timezone name |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral burden. 'Current local time' implies a read-only, stateless lookup, which is useful context. But the description does not disclose whether the zone parameter can override the fixed Asia/Tokyo scope, what output format is returned, or whether any other behavior such as network requests or caching occurs.
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 short and front-loaded, with no filler words. However, it is a noun phrase rather than a verb-led instruction, and its brevity leaves the relationship between the parameters and the tool's purpose unexplained.
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 read-only time lookup, the description conveys the core purpose and result. But with no output schema and no annotations, it leaves important context unstated: whether the zone parameter changes the timezone, whether the unrelated parameters are ignored, and what exact value the agent should expect in return.
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%, so url, host, json, and zone are each individually documented. The tool description itself adds no parameter-level meaning and does not clarify why url, host, and json appear for a timezone tool, but the schema already provides the baseline documentation.
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 states a specific resource (Asia/Tokyo) and a specific outcome (current local time), so an agent can tell what the tool does. It is not a tautology because it adds the result type beyond the tool name, but it does not explicitly differentiate itself from siblings like timezone or utc-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 intended use is implied: an agent should use this tool when it needs the current local time in Asia/Tokyo. However, there is no explicit guidance about when not to use it, nor any comparison to the sibling tools such as timezone, utc-time, or iana-zones.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.