Common IANA timezone names for clock calls.
| 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 must carry the full behavioral burden. It does not disclose whether the tool reads data, returns a list, validates input, or has any side effects. The only behavioral hint is the phrase 'for clock calls,' which is too vague to be actionable.
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, front-loaded sentence with no redundant wording. It is efficient, though the brevity contributes to the overall under-specification.
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?
With four optional parameters, no annotations, and no output schema, the description is severely incomplete. An agent cannot determine what to pass, what the tool will do with those inputs, or what a successful response looks like. This is far below the minimum viable level for correct invocation.
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. The description adds no parameter-level meaning and, notably, the timezone-name focus does not explain why 'url', 'host', and 'json' parameters exist. Still, the schema itself documents all parameters adequately.
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 identifies the domain ('Common IANA timezone names') and a suggested use case ('for clock calls'), but it is a noun phrase with no explicit verb such as 'returns', 'lists', or 'validates'. It does not clearly differentiate this tool from siblings like 'timezone' or 'validate'.
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 description gives no guidance on when to use this tool versus alternatives. Sibling names such as 'timezone', 'validate', and 'normalize' suggest related functionality, but no selection criteria or exclusions 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.
Most tools have distinct outputs, but there is real overlap: http-404 is a subset of status-catalog, timezone overlaps utc-time, and citation/normalize-url/domain-shape all parse URLs in slightly different ways. The descriptions clarify intended uses, so an agent can usually pick correctly, but the boundaries are not crisp.
Names are all lowercase kebab-case, which provides a surface-level consistency, but the structural pattern is mixed: single nouns, noun-noun compounds, and imperative verb-noun forms. This makes the naming scheme less predictable than a uniform verb_noun or noun-based convention.
Eleven tools is within a reasonable numeric range, but the set is not tightly scoped: URL/HTTP tools are mixed with timezone, JSON, and compatibility tools. A more focused HTTP utility server could easily justify fewer or more cohesive tools.
The inferred domain is URL/HTTP inspection, and the set covers normalization, status codes, and robots, but it lacks obvious related operations such as HTTP headers, redirects, or URL decoding. The presence of unrelated time and JSON tools makes the surface feel arbitrary rather than deliberately complete.