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saidsef

GitHub PR Issue Analyser

by saidsef

get_ipv4_info

Retrieve IPv4 address information for network analysis and troubleshooting in GitHub repository management workflows.

Instructions

Get information about an IPv4 address. :return: A dictionary containing the IPv4 information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The handler function implementing the get_ipv4_info tool. It fetches IPv4 information from the configured API endpoint (default: https://ipinfo.io/json) using an HTTP GET request and returns the JSON data or an error dictionary.
    def get_ipv4_info(self) -> Dict[str, Any]:
        """
        Get information about an IPv4 address.
        :return: A dictionary containing the IPv4 information.
        """
        try:
            ipv4 = self.get_info(self.ipv4_api_url)
            if not ipv4:
                logging.error("No IPv4 information found.")
                return {}
            return ipv4
        except requests.RequestException as e:
            logging.error(f"Error fetching IPv4 info: {e}")
            logging.debug(e)
            traceback.print_exc()
            return {"error": str(e)}
  • Dynamic registration of tools from IPIntegration (self.ip) instance. The register_tools method iterates over public methods of the instance and adds them to the MCP server using mcp.add_tool, including get_ipv4_info.
    def _register_tools(self):
        self.register_tools(self.gi)
        self.register_tools(self.ip)
    
    def register_tools(self, methods: Any = None) -> None:
        for name, method in inspect.getmembers(methods):
            if (inspect.isfunction(method) or inspect.ismethod(method)) and not name.startswith("_"):
                self.mcp.add_tool(method)
  • Instantiation of the IPIntegration class instance (self.ip) whose methods are registered as MCP tools.
    self.gi = GI()
    self.ip = IP()
  • Import of the IPIntegration class containing the get_ipv4_info handler.
    from .ip_integration import IPIntegration as IP
  • Helper method used by get_ipv4_info to perform the HTTP request and handle errors.
    def get_info(self, url: str) -> Dict[str, Any]:
      """
      Fetches information from the specified URL using an HTTP GET request.
      Args:
          url (str): The URL to send the GET request to.
      Returns:
          Dict[str, Any]: The JSON response parsed into a dictionary if the request is successful.
          Returns an empty dictionary if the request fails or an exception occurs.
      Error Handling:
          Logs an error message and stack trace if a requests.RequestException is raised during the HTTP request.
      """
        
      try:
          response = requests.get(url, timeout=TIMEOUT)
          response.raise_for_status()
          return response.json()
      except requests.RequestException as e:
          logging.error(f"Error fetching IP info: {e}")
          logging.debug(e)
          traceback.print_exc()
          return {"error": str(e)}
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states it 'gets information' without detailing what that information includes, whether it's read-only, requires authentication, has rate limits, or any other behavioral traits. This is inadequate for a tool with no annotation coverage.

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

Conciseness4/5

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

The description is very concise with two sentences, front-loading the purpose and return value efficiently. However, the second sentence is somewhat redundant given the output schema, slightly reducing its value.

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

Completeness3/5

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

Given the tool has no parameters, an output schema exists, and no annotations, the description is minimally adequate but lacks context. It doesn't explain what 'IPv4 information' entails or how it differs from sibling tools, leaving gaps in completeness for a standalone 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 schema description coverage is 100%, so there's no need for parameter details in the description. The baseline for this scenario is 4, as the description appropriately doesn't add unnecessary param info, though it could briefly note the lack of inputs.

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 with a specific verb ('Get') and resource ('information about an IPv4 address'), making it easy to understand what it does. However, it doesn't differentiate from its sibling 'get_ipv6_info' beyond the protocol version, which is a minor gap in sibling distinction.

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 like 'get_ipv6_info' for IPv6 addresses or 'get_info' which might be more general. There's no mention of prerequisites, context, or exclusions, leaving usage unclear.

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

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