uk-timezone
UK time zone and DST status across Europe/London (GMT +0 / BST +1). Computed from IANA at runtime.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| zone | No | Zone to return: Europe/London (default; only one for UK) |
UK time zone and DST status across Europe/London (GMT +0 / BST +1). Computed from IANA at runtime.
| Name | Required | Description | Default |
|---|---|---|---|
| zone | No | Zone to return: Europe/London (default; only one for UK) |
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 exist, so the description bears the full disclosure burden. It states that the timezone is computed from IANA at runtime, implying a dynamic current result, and lists the two possible offsets (GMT+0 / BST+1) tied to DST status. It does not enumerate exact return fields, but for a simple read-only timezone lookup this is sufficiently transparent.
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 short sentences with zero filler. The core resource and scope are front-loaded, and the runtime computation detail is placed in the second sentence without bloating the definition.
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 one optional parameter and no output schema, the description covers the essentials: what is returned (UK time zone and DST status) and how it is derived (IANA at runtime). It does not detail the output structure, but that is not a significant gap given the tool's simplicity and the complete parameter 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 description coverage is 100%, so the schema fully documents the single optional `zone` parameter, including its default and constraint. The description adds no parameter-specific meaning, which matches the baseline 3 when schema already carries the semantic load.
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 names the resource: UK time zone and DST status, with Europe/London and GMT/BST offsets, which distinguishes it from sibling timezone tools like au-timezone and nz-timezone. It lacks an explicit verb such as 'get' or 'returns', but 'time zone and DST status' plus 'Computed from IANA at runtime' adequately conveys the function.
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 context is clear: this is the UK-specific timezone/DST tool, and the schema notes that Europe/London is the only zone. It does not explicitly name alternatives or when-not-to-use, but the sibling tool set and the 'UK' scope make the intended usage unambiguous.
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.
Every tool maps to a clearly distinct dataset or lookup, with country prefixes and topic names separating overlapping domains. Even similar tools like au-abs-building-activity and au-abs-building-approvals are unambiguously differentiated by their descriptions.
The data tools follow a consistent country/topic hyphenated pattern (au-*, nz-*), making resource selection predictable. The meta tools (get_catalog, list_services, health) break this pattern with imperative/underscore names, but this is a minor and understandable deviation.
At 26 tools, the set is on the heavy side and slightly exceeds the typical comfortable range. However, each tool represents a genuinely distinct data service, and the clear grouping by country and topic keeps the surface navigable.
The server covers a broad range of common agent data needs for Australia and New Zealand: demographics, income, building, labour, weather, time, holidays, school terms, and place resolution. Minor gaps exist, such as no NZ building data or broader international coverage, but core workflows are well supported.