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CupOfOwls

Kroger MCP Server

check_location_exists

Verify if a specific Kroger store location exists in the system by providing its unique identifier. This tool confirms location availability before proceeding with grocery shopping tasks.

Instructions

    Check if a location exists in the Kroger system.
    
    Args:
        location_id: The unique identifier for the store location
    
    Returns:
        Dictionary indicating whether the location exists
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
location_idYes

Implementation Reference

  • The main handler function for the 'check_location_exists' MCP tool. It uses the Kroger client to check if a location ID exists and returns a structured response.
    @mcp.tool()
    async def check_location_exists(
        location_id: str,
        ctx: Context = None
    ) -> Dict[str, Any]:
        """
        Check if a location exists in the Kroger system.
        
        Args:
            location_id: The unique identifier for the store location
        
        Returns:
            Dictionary indicating whether the location exists
        """
        if ctx:
            await ctx.info(f"Checking if location {location_id} exists")
        
        client = get_client_credentials_client()
        
        try:
            exists = client.location.location_exists(location_id)
            
            return {
                "success": True,
                "location_id": location_id,
                "exists": exists,
                "message": f"Location {location_id} {'exists' if exists else 'does not exist'}"
            }
            
        except Exception as e:
            if ctx:
                await ctx.error(f"Error checking location existence: {str(e)}")
            return {
                "success": False,
                "error": str(e)
            }
  • Calls register_tools from location_tools module, which defines and registers the check_location_exists tool among others.
    location_tools.register_tools(mcp)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states it 'checks' existence (implying a read-only operation) but doesn't mention authentication requirements, rate limits, error conditions, or what specific data the return dictionary contains. The behavioral context is minimal.

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 well-structured and appropriately concise. It uses a clear purpose statement followed by formatted Args and Returns sections with no redundant information. Every sentence earns its place.

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?

For a simple existence check with one parameter and no output schema, the description covers the basic purpose and parameter meaning adequately. However, it lacks details about authentication needs, error handling, and the structure of the return dictionary, which would be helpful given the absence of annotations.

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 description explicitly documents the single parameter ('location_id: The unique identifier for the store location'), adding meaningful context beyond the schema's basic type information. With 0% schema description coverage and only one parameter, this provides adequate compensation.

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: 'Check if a location exists in the Kroger system.' It specifies the verb ('check') and resource ('location'), but doesn't explicitly differentiate it from sibling tools like 'check_chain_exists' or 'check_department_exists' that perform similar existence checks on different resource types.

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 doesn't mention sibling tools like 'search_locations' or 'get_location_details' that might serve related purposes, nor does it specify prerequisites or contextual constraints for usage.

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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