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spix_contact_create

Create a new contact in Spix by providing name, phone, email, and tags to manage contact information.

Instructions

Create a new contact

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesContact name
phoneNoPhone number (E.164)
emailNoEmail address
tagsNoTags for the contact

Implementation Reference

  • The create_tool_handler function is the centralized handler that executes MCP tool calls by resolving the tool name to a CommandSchema, validating session scopes, and dispatching to the backend API.
    async def create_tool_handler(
        session: McpSessionContext,
        tool_name: str,
        arguments: dict,
    ) -> list:
        """Execute an MCP tool call by dispatching to the backend API.
    
        This function:
        1. Resolves the tool name to a command schema
        2. Validates session scope (playbook access, channel access)
        3. Builds the API request
        4. Dispatches to the backend
        5. Returns the response as MCP TextContent
    
        Args:
            session: The MCP session context for scope validation.
            tool_name: The MCP tool name (e.g., "spix_playbook_create").
            arguments: The tool arguments from the MCP client.
    
        Returns:
            List containing a single TextContent with the JSON response.
        """
        # Import here to avoid circular imports and handle missing mcp package
        try:
            from mcp.types import TextContent
        except ImportError:
            # Fallback for when mcp is not installed
            class TextContent:  # type: ignore[no-redef]
                def __init__(self, type: str, text: str) -> None:
                    self.type = type
                    self.text = text
    
        # Resolve tool name to schema
        schema = get_schema_by_tool_name(tool_name)
        if not schema:
            return [
                TextContent(
                    type="text",
                    text=orjson.dumps(
                        {"ok": False, "error": {"code": "unknown_tool", "message": f"Unknown tool: {tool_name}"}}
                    ).decode(),
                )
            ]
    
        # Validate tool access (not disabled)
        try:
            session.validate_tool_access(schema.path)
        except Exception as e:
            from spix_mcp.session import McpScopeError
    
            if isinstance(e, McpScopeError):
                return [TextContent(type="text", text=orjson.dumps({"ok": False, "error": e.to_dict()}).decode())]
            raise
    
        # Validate channel access if applicable
        channel = infer_channel_from_tool(schema.path)
        if channel:
            try:
                session.validate_channel_access(channel)
            except Exception as e:
                from spix_mcp.session import McpScopeError
    
                if isinstance(e, McpScopeError):
                    return [TextContent(type="text", text=orjson.dumps({"ok": False, "error": e.to_dict()}).decode())]
                raise
    
        # Handle playbook_id: validate and apply default
        playbook_id = arguments.get("playbook_id")
        try:
            effective_playbook = session.validate_playbook_access(playbook_id)
            if effective_playbook and not playbook_id:
                # Apply default playbook
                arguments["playbook_id"] = effective_playbook
        except Exception as e:
            from spix_mcp.session import McpScopeError
    
            if isinstance(e, McpScopeError):
                return [TextContent(type="text", text=orjson.dumps({"ok": False, "error": e.to_dict()}).decode())]
            raise
    
        # Build endpoint URL with path parameters
        endpoint, remaining_args = build_endpoint_url(schema, arguments)
    
        # Dispatch to backend API
        client = session.client
        method = schema.http_method.lower()
    
        if method == "get":
            response = await asyncio.to_thread(client.get, endpoint, params=remaining_args if remaining_args else None)
        elif method == "post":
            response = await asyncio.to_thread(client.post, endpoint, json=remaining_args if remaining_args else None)
        elif method == "patch":
            response = await asyncio.to_thread(client.patch, endpoint, json=remaining_args if remaining_args else None)
        elif method == "delete":
            response = await asyncio.to_thread(client.delete, endpoint, params=remaining_args if remaining_args else None)
        else:
            response = await asyncio.to_thread(client.get, endpoint)
    
        # Build response envelope
        envelope: dict = {"ok": response.ok, "meta": response.meta}
        if response.ok:
            envelope["data"] = response.data
            if response.pagination:
                envelope["pagination"] = response.pagination
            if response.warnings:
                envelope["warnings"] = response.warnings
        else:
            envelope["error"] = response.error
    
        return [TextContent(type="text", text=orjson.dumps(envelope).decode())]
  • The definition of 'contact.create' (mapped to 'spix_contact_create') in the COMMAND_REGISTRY, defining its API endpoint, HTTP method, and input parameters.
    CommandSchema(
        path="contact.create",
        cli_usage="spix contact create --name <n> --phone <p>",
        http_method="POST",
        api_endpoint="/contacts",
        mcp_expose="tool",
        mcp_profile="safe",
        description="Create a new contact",
        params=[
            CommandParam("name", "string", required=True, description="Contact name"),
            CommandParam("phone", "string", description="Phone number (E.164)"),
            CommandParam("email", "string", description="Email address"),
            CommandParam("tags", "array", description="Tags for the contact"),
        ],
    ),
  • The get_mcp_tools function is used to dynamically generate the list of available MCP tools from the COMMAND_REGISTRY, which includes 'contact.create'.
    def get_mcp_tools(profile: str = "safe", disabled: list[str] | None = None) -> list[CommandSchema]:
        """Return tool-exposed commands filtered by profile and disabled list.
    
        Args:
            profile: "safe" or "full". "safe" excludes destructive operations.
            disabled: List of command paths to exclude (e.g., ["billing.plan.set"]).
    
        Returns:
            List of CommandSchema objects to expose as MCP tools.
        """
        disabled_set = set(disabled or [])
        return [
            cmd
            for cmd in COMMAND_REGISTRY
            if cmd.mcp_expose == "tool"
            and (profile == "full" or cmd.mcp_profile == "safe")
            and cmd.path not in disabled_set
        ]
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. 'Create' implies a write operation, but it doesn't specify permissions required, whether duplicates are allowed, what happens on failure, or any rate limits. This leaves significant gaps for a mutation tool.

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 a single, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it immediately scannable and appropriately sized for its purpose.

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

Completeness2/5

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

For a mutation tool with no annotations and no output schema, the description is inadequate. It doesn't explain what the tool returns, error conditions, or behavioral nuances. Given the complexity of creating a contact with multiple optional fields, more context is needed for effective agent use.

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

Parameters3/5

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

Schema description coverage is 100%, so parameters are well-documented in the schema itself. The description adds no additional parameter information beyond the basic action, which meets the baseline when schema coverage is high, but doesn't provide extra context like format examples or constraints.

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 action ('Create') and resource ('a new contact'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like spix_contact_tag or spix_contact_show, which also operate on contacts, so it doesn't achieve full 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 spix_contact_list or spix_contact_show. There's no mention of prerequisites, context, or exclusions, leaving the agent with minimal usage direction beyond the basic purpose.

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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