Skip to main content
Glama

get_time

Retrieve the current time in human-readable format from the MCP Ahrefs server for timestamping SEO operations and data synchronization.

Instructions

Get the current time.

Returns the current time in a human-readable format.

Returns:
    Current time as a string

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The main handler function for the 'get_time' tool. It returns the current timestamp in a formatted string using Python's time module.
    async def get_time() -> str:
        """Get the current time.
        
        Returns the current time in a human-readable format.
        
        Returns:
            Current time as a string
        """
        return f"Current time: {time.strftime('%Y-%m-%d %H:%M:%S')}"
  • Registration loop for regular example tools (including get_time). Applies decorators (exception_handler, tool_logger) and registers the decorated function with the MCP server using FastMCP's tool decorator.
    for tool_func in example_tools:
        # Apply SAAGA decorator chain: exception_handler → tool_logger
        decorated_func = exception_handler(tool_logger(tool_func, config.__dict__))
        
        # Extract metadata from the original function
        tool_name = tool_func.__name__
        
        # Register the decorated function directly with MCP
        # This preserves the function signature for parameter introspection
        mcp_server.tool(
            name=tool_name
        )(decorated_func)
        
        unified_logger.info(f"Registered tool: {tool_name}")
  • List of regular example tools that includes get_time, imported and used for registration in the server.
    example_tools = [
        echo_tool,
        get_time,
        random_number,
        calculate_fibonacci
    ]
  • Import of example_tools list containing get_time from example_tools.py, prerequisite for registration.
    from mcp_ahrefs.tools.example_tools import example_tools, parallel_example_tools
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns the current time in a human-readable format as a string, which is basic behavioral information. However, it lacks details on potential traits like timezone handling, latency, or error conditions. The description does not contradict annotations, but it provides minimal behavioral context beyond the core functionality.

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?

The description is appropriately sized and front-loaded: it starts with the core purpose ('Get the current time.'), followed by return format details. Each sentence earns its place by clarifying the output without redundancy. It is concise and well-structured for a simple tool.

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 low complexity (0 parameters, no annotations, but has an output schema), the description is complete enough. It explains what the tool does and the return format, and since an output schema exists, it does not need to detail return values further. However, it could improve by adding minor context like timezone information, but it meets most needs for this simple tool.

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?

The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description does not need to add parameter semantics, as there are none. According to the rules, for 0 parameters, the baseline is 4, as the description adequately covers the lack of inputs without unnecessary detail.

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 the tool's purpose: 'Get the current time' and 'Returns the current time in a human-readable format.' This is a specific verb ('Get') and resource ('current time'), but it does not explicitly distinguish from sibling tools like 'calculate_fibonacci' or 'random_number', which serve different purposes. The purpose is unambiguous but lacks sibling differentiation.

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

Usage Guidelines2/5

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 alternatives. It does not mention any context, prerequisites, or exclusions for usage. With sibling tools like 'echo_tool' or 'simulate_heavy_computation', there is no indication of when 'get_time' is preferred, leaving the agent without usage instructions.

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/SAGAAIDEV/mcp-ahrefs'

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