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?
With no annotations, the description must carry behavioral disclosure, but it only states the purpose. It does not describe the output format, whether the time includes offset, or how the zone parameter is handled. The presence of unrelated schema parameters (url, host, json) further confuses 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 a single, concise sentence with no redundant words. However, it is under-specified rather than efficiently structured, so it does not fully earn a top score for structure.
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 tool with four parameters, no output schema, and no annotations, the description is insufficient. It does not explain the role of the extra parameters, the exact return value, or any constraints, leaving an agent unable to call it correctly without further investigation.
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%, but the description adds no parameter meaning. It does not clarify which of the four schema parameters are relevant to the timezone operation, and the url, host, and json parameters appear unrelated, creating ambiguity. The description fails to compensate for this confusion.
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 action (get current time) and a resource (named IANA timezone), making the core purpose clear. However, it does not differentiate from sibling tools like utc-time or hour-utc, which also provide time-related data, so it lacks differentiation.
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 given on when to use this tool versus alternatives. Siblings like utc-time, hour-utc, and iana-zones exist, but the description provides no criteria for selection, leaving the agent to infer usage.
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 operate on URLs (citation, normalize-url, domain-shape, compatibility) with overlapping inputs but different outputs, and hour-utc vs utc-time are close in purpose. Descriptions mostly clarify the distinction, but an agent could easily select the wrong URL-analysis tool without deeper inspection.
Names mix single nouns (citation, compatibility, timezone) with hyphenated compounds that alternate verb-first (normalize-url, inspect-robots) and noun-first (status-catalog, domain-shape). No consistent verb_noun or action-object pattern is present.
Eleven tools is within a reasonable count range, but the set spans time, URL parsing, HTTP status, and JSON validation with no unifying scope. Several tools feel like a grab-bag rather than a focused server, so the count is not fully earned.
The time tools lack basic conversions or formatting options, and the URL tools have no clear workflow for fetching, parsing, and classifying content. For the apparent 'web/URL utilities plus time' scope, there are significant gaps that would force agents to work around missing functionality.