timezone-helper
Server Details
MCP server for TimezoneDB.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.4/5 across 3 of 3 tools scored.
Each tool has a distinct purpose: backend_info for diagnostics, current_time for fetching current time in a timezone, and list_timezones for listing available timezones. No overlap.
All tool names use snake_case and are consistently verb_noun patterns (backend_info, current_time, list_timezones).
Three tools is an ideal scope for a timezone helper, covering diagnostics, current time lookup, and timezone listing without unnecessary complexity.
The set covers core functionality (list timezones, get current time) and diagnostics. Lacks time conversion between timezones, but this is a minor gap for a simple helper.
Available Tools
3 toolsbackend_infobackend_infoADestructiveInspect
Diagnostic: returns the resolved backend URL and whether an API key is configured.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description labels the tool as diagnostic (read-only), but annotations set destructiveHint: true, contradicting the description. The description does not address this contradiction or explain any destructive behavior, causing confusion.
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?
Single sentence, highly concise, and front-loaded with key information. Every word adds value.
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?
No output schema is provided, so the description should at least hint at the return format or example values. The description is accurate but could be more complete for a tool with no parameters.
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?
The tool has zero parameters, so schema coverage is 100%. The description adds no param information, but none is needed. Baseline 4 applies.
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 tool returns the resolved backend URL and API key status. The prefix 'Diagnostic' explicitly indicates its purpose, and with no sibling tools sharing similar functionality, it is unambiguous.
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 implies usage for diagnostic purposes but does not explicitly state when or why to use this tool over alternatives. No guidance on prerequisites or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
current_timecurrent_timeBDestructiveInspect
Get the current time for an IANA timezone via TimezoneDB.
| Name | Required | Description | Default |
|---|---|---|---|
| timezone | Yes | IANA timezone, e.g. 'America/New_York', 'Asia/Kolkata' |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description claims a read operation ('get'), but annotations set destructiveHint=true, which is contradictory. No additional behavioral details (e.g., side effects, rate limits) are provided, and the contradiction undermines trust. Annotation Contradiction flag is set.
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 concise sentence that effectively communicates the tool's purpose without extraneous information. It is well-structured and front-loaded.
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?
Given the tool's simplicity (one parameter, no output schema), the description is minimally adequate. However, it lacks information about the output format or potential error conditions, and given the annotation contradiction, more context would be beneficial.
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?
The input schema covers the parameter fully (100% coverage) with a clear description including an example. The tool description adds context about IANA timezones and the data source (TimezoneDB) but does not provide additional semantic meaning beyond what the schema already offers.
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 tool gets the current time for an IANA timezone, using a specific service (TimezoneDB). It is distinct from sibling tools like list_timezones, which implies listing available timezones, not getting current time.
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 provides no guidance on when to use this tool versus its siblings, such as list_timezones. It does not mention any prerequisites or alternative use cases, leaving the agent to infer usage from context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_timezoneslist_timezonesADestructiveInspect
List timezones from TimezoneDB, optionally filtered by region prefix.
| Name | Required | Description | Default |
|---|---|---|---|
| prefix | No | Optional region prefix, e.g. 'America', 'Asia', 'Europe'. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description says 'List' (read-only) but annotations include destructiveHint: true, which is a contradiction. No additional behavioral context provided beyond what is contradicted.
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?
Single sentence, clear and concise. No unnecessary words. Front-loaded with verb and resource.
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?
Simple tool with one optional parameter and no output schema. Description adequately conveys functionality. Missing details about sorting or format but sufficient for basic use.
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 covers the single parameter with description including examples. Description adds no new info beyond schema. Baseline 3 for 100% coverage.
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?
Description uses specific verb 'list' and resource 'timezones', with source 'TimezoneDB' and optional filter. Clearly distinguishes from sibling tools 'backend_info' and 'current_time'.
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?
Description states optional region filter and implies listing all timezones by default. Lacks explicit when-not-to-use or alternatives, but context from siblings makes it clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!