timezone
Current time in a named IANA timezone.
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 time in a named IANA timezone.
| 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 full burden of behavioral disclosure. It only says what the tool returns and does not explain behavior for invalid zones, whether the url/host/json parameters are ignored, or what the response format is. This is a significant gap even for a simple read-only 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?
The description is a single sentence with no filler, and the core behavior is front-loaded. It is appropriately concise for the limited information it provides.
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?
With no output schema and no annotations, the description is too thin. It does not explain how the four schema parameters relate to the timezone lookup, what the output looks like, or how this tool differs from utc-time. An agent cannot confidently determine whether url, host, or json are needed or ignored.
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 the baseline is 3. The description only mentions the zone concept and does not clarify how url, host, and json relate to the tool, which is confusing given the schema lists them as optional parameters. The schema's own descriptions are clear, but the description adds no extra meaning.
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 behavior: returning the current time for a named IANA timezone. It is clear enough to distinguish from a generic clock tool, though it does not explicitly differentiate from the sibling utc-time or iana-zones 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?
The phrase 'named IANA timezone' implies this tool is for zone-specific lookups, which gives some usage context. However, there is no explicit guidance on when to use this instead of utc-time or iana-zones, and no exclusions or alternatives are mentioned.
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.
Each tool has a distinct purpose (country code, URL manipulation, timezone, JSON validation, etc.) with no overlapping functionality, so there is no ambiguity in selecting the right tool.
All names use lowercase with hyphens, but the pattern is inconsistent: some are noun-only (e.g., 'cc-jp', 'iana-zones') while others are verb-noun (e.g., 'normalize-url', 'validate-json'). The style is uniform but the grammar is mixed.
With 11 tools, the count is reasonable, but the collection feels like a random assortment of utilities rather than a focused feature set, making the size slightly unjustified.
There is no coherent domain to evaluate completeness against. The tools span unrelated areas (ISO, HTTP, timezones, JSON, robots), so the set is incomplete for any single purpose and lacks a clear scope.