Skip to main content
Glama
RhombusSystems

Rhombus MCP Server

Official

time-tool

Convert natural language time descriptions (e.g., '2pm today') into precise time values. Optionally specify a timezone for accurate results.

Instructions

This tool is capable of returning the time from a natural language query. If the user asks about the 'current time' use this tool. Try to kee time_description as close to the users initial query as possible. For example if someone says 'was X person seen today?' then time_description should be 'today'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
time_descriptionYesA natural language description of the time (e.g., '2pm today', 'tomorrow at noon').
timezoneYesOptional IANA timezone string (e.g., 'America/Los_Angeles', 'UTC'). Will default to system timezone if not provided.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It describes a read-like operation but does not explicitly state it is safe or has side effects. For a simple query tool, this is adequate but not thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences plus an example, all highly relevant. No wasted words. The instructions are front-loaded and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, the description covers what the tool does, when to use it, and how to set parameters. Lacks details on return format, but for a time tool that is often acceptable. Overall sufficient for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema provides 100% coverage for both parameters. The description adds valuable context by advising to keep time_description close to the user's query, which helps the agent formulate the parameter correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns time from a natural language query, distinguishing it from sibling tools like time-conversion-tool. However, it could be slightly more explicit that it handles both current time queries and time descriptions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear guidance on when to use (e.g., 'if user asks about current time') and how to construct the time_description parameter. Lacks explicit exclusion of alternatives, but the sibling list includes time-conversion-tool which implies different use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/RhombusSystems/rhombus-node-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server