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 present, so the description carries the full burden of behavioral disclosure. It conveys a read-only lookup of the current time in a specified zone, but it does not mention invalid-zone behavior, DST handling, or output format.
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 one short sentence, front-loaded with the core behavior 'Current time' and scoped immediately to an IANA timezone. There is no filler or redundancy.
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 low-complexity tool, this is minimally adequate: it identifies the relevant input (zone) and the return concept (current time). However, with no output schema and no annotations, it omits response format details and fails to address the extraneous parameters or the distinction from utc-time.
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%, so the baseline is 3. The description adds little beyond the schema; it only rephrases 'IANA timezone name' as 'named IANA timezone.' It also does not clarify why url, host, and json appear in the schema when the description implies only zone is relevant.
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 states the operation (get current time) and the resource (a named IANA timezone). It is implicitly distinguishable from sibling tools like utc-time and iana-zones, but it does not explicitly name the alternatives.
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?
There is no guidance about when to use this tool versus sibling tools such as utc-time or iana-zones. No exclusions, preconditions, or alternative routing are provided.
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: citation and normalize-url both return URL origin/host information, while timezone and utc-time both provide current time. The descriptions help separate most tools, but compatibility is vague and could be confused with classification or request-checking tools.
Names use lowercase hyphenation and are generally readable, but they mix verb-led forms like inspect-robots, normalize-url, and validate-json with noun-led forms like domain-shape, status-catalog, and utc-time. There is no consistent verb_noun or noun_verb convention across the set.
11 tools is a reasonable count, but for a server named 'Nano ID shape check' the scope feels diffuse, with URL, time, JSON, and HTTP status utilities included. Several tools do not clearly earn their place under that stated purpose.
The server claims a narrow Nano ID focus, yet only one tool directly supports it, while URL, JSON, time, and robots checks are shallow one-offs. There are no tools for generating or custom-validating Nano IDs, and URL handling stops at normalization without redirects or deeper request inspection.