utc-time
Current UTC timestamp.
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 UTC timestamp.
| 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 carries the full behavioral burden, but it only states the output concept. It does not disclose the timestamp format, whether input parameters are ignored, or that the operation is read-only and side-effect free.
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 efficient sentence with no wasted words. It is short but leaves out important behavioral details; that is under-specification rather than a conciseness problem.
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?
This is a minimal, no-output-schema tool with no annotations and four unexplained optional parameters, so more context is needed. The description tells an agent what value to expect but not the return format or whether any parameters are meaningful.
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 and the schema documents every parameter. However, the parameters (url, host, json, zone) appear unrelated to a UTC timestamp, and the description does not clarify how or whether they affect the call.
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 identifies the tool's function: returning the current UTC timestamp. It adds 'current' and 'UTC' specificity beyond the name, though it lacks a verb and does not explicitly distinguish from the sibling 'timezone' tool.
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 usage context is provided: the description does not say when to call this tool, what it is useful for, or how it differs from sibling tools like timezone. There is no guidance on how to handle the four optional input parameters.
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 overlap heavily: citation, normalize-url, and url-host all return host information for URLs, differing only in extra fields. timezone and utc-time both provide current time, and iana-zones is closely related. compatibility is vague and could be confused with citation or status-catalog.
Names mix conventions inconsistently: some use verb_noun (normalize-url, validate-json, inspect-robots), while others are noun-like (citation, compatibility, timezone) or noun-noun (url-host, status-catalog, iana-zones). The pattern is not predictable, making it harder to anticipate related tools.
Eleven tools is within a reasonable range for a utility server, but the scope is scattered across URL handling, timezones, JSON validation, and HTTP status codes. The count is not extreme, yet the tools feel less like a cohesive set and more like an arbitrary collection.
The stated domain is unclear—URL host utilities are mixed with unrelated time and validation helpers, so complete coverage is impossible to assess. For URL tools, there are multiple overlapping operations but no clear lifecycle; for time, there is no conversion or formatting beyond current time. Significant gaps exist for any single coherent purpose.