Short catalog of common HTTP status codes.
| 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 burden of explaining behavior. It only states what the catalog is, not what invoking the tool does, whether it reads or mutates data, or what the output will look like.
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 short and front-loaded, with no wasted words. However, the single sentence is mostly a tautology and does not provide the operational information needed to use the tool correctly.
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?
The tool has no annotations, no output schema, four heterogeneous parameters, and many sibling tools, but the description provides none of the needed invocation context, return-value information, or usage criteria. This is far too incomplete for an agent to use the tool reliably.
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 all parameters have descriptions in the input schema itself. The tool description adds no parameter-level meaning and, more importantly, does not explain how these parameters relate to the catalog or to each other.
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 is essentially a restatement of the tool name: 'status-catalog' is rephrased as 'catalog of common HTTP status codes'. It lacks a verb and operation, and it does not explain why the input schema contains url, host, json, and zone, which are unrelated to a simple status-code catalog.
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 or how it relates to sibling tools like normalize-url, validate-json, or timezone. An agent has no basis for choosing this tool over alternatives.
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.
Most tools target distinct concerns: timezone lookups, URL normalization, JSON validation, and robots.txt inspection are clearly separate. The only real overlap is citation vs. normalize-url, both of which extract host/scheme info from a URL, and iana-zones vs. timezone vs. utc-time could be slightly confusing in a timezone context.
All names use lowercase hyphenated style, which is readable, but they mix noun phrases (citation, compatibility, timezone) with verb-led phrases (inspect-robots, normalize-url, validate-json). There is no consistent verb_noun pattern across the set.
Ten tools is a reasonable count, but the set is not well-scoped to the server's stated IANA Zones identity. Only three tools clearly relate to timezones, while the rest cover unrelated URL, HTTP, and JSON utilities, making the count feel padded rather than purpose-built.
For a timezone-focused server, the surface is incomplete: it offers common names, current time, and UTC, but no comprehensive zone list, offset information, or timezone conversion. The URL and JSON helpers are similarly one-off utilities with no broader workflow coverage, leaving notable gaps in the apparent domain.