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 mentions the read-style nature of the tool but says nothing about output format, invalid-zone handling, default behavior, or the presence of seemingly unrelated schema parameters like url, host, and json.
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 compact sentence with no filler and is easy to parse. It is concise and front-loaded, though the brevity sacrifices important usage and behavioral context.
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 no annotations, no output schema, and four optional parameters that are not clearly aligned with the description, this is too thin. An agent would not know which parameter to use, whether the other parameters are ignored, or what the returned time format will be.
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 even without parameter details in the description. The phrase 'named IANA timezone' loosely maps to the zone parameter, but the description adds no real semantic value beyond the schema and does not clarify why url, host, or json exist.
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 core behavior: returning the current time for a named IANA timezone. It is specific enough to convey the tool's function, though it does not explicitly differentiate it from sibling tools such as utc-time or iana-zones.
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 on when to use this tool versus alternatives like utc-time or iana-zones. The description explains what the tool does but provides no context for selection, exclusions, or preconditions.
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 URL-focused tools (citation, normalize-url, domain-shape) overlap in what they inspect, though their descriptions do specify different outputs. compatibility and sha256-ok are vague, but most other tools have clearly separate jobs.
All names use lowercase hyphenation, but they mix verb-object names (normalize-url, inspect-robots, validate-json) with noun-only or noun-noun names (citation, timezone, status-catalog, iana-zones). This is readable but gives agents no reliable pattern for predicting tool names.
Eleven tools is within a reasonable size for a general-purpose privacy-safe utility server, and no tool is an exact duplicate. The set could be tightened around a single domain, but the count itself is not excessive.
The server's domain is too broad and unfocused to define a complete workflow: URL inspection lacks redirect/header coverage, timezone handling lacks conversions, and JSON/hash tools are single-purpose checks. As a result, agents will likely need tools outside this server for related operations.