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spix_playbook_clone

Clone an existing playbook by providing its ID and a new name. Duplicate playbook configurations to reuse or modify without rebuilding from scratch.

Instructions

Clone an existing playbook

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playbook_idYesPlaybook ID to clone
nameYesName for the cloned playbook

Implementation Reference

  • Schema definition for the playbook.clone command. It's path is 'playbook.clone', which gets converted to the MCP tool name 'spix_playbook_clone'. It's exposed as a safe tool, uses POST to /playbooks/{playbook_id}/clone, and requires playbook_id (positional) and name (param).
    CommandSchema(
        path="playbook.clone",
        cli_usage="spix playbook clone <playbook_id> --name <n>",
        http_method="POST",
        api_endpoint="/playbooks/{playbook_id}/clone",
        mcp_expose="tool",
        mcp_profile="safe",
        description="Clone an existing playbook",
        positional_args=[
            CommandParam("playbook_id", "string", required=True, description="Playbook ID to clone"),
        ],
        params=[
            CommandParam("name", "string", required=True, description="Name for the cloned playbook"),
        ],
    ),
  • The generic tool handler that dispatches all MCP tool calls (including spix_playbook_clone) to the backend API. It resolves the tool name via get_schema_by_tool_name, validates access, builds the endpoint URL with path parameters, and sends the HTTP request using the method from the schema (POST for clone).
    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())]
  • Registration of all MCP tools from the registry. The path 'playbook.clone' is converted to the MCP tool name 'spix_playbook_clone' via f"spix_{schema.path.replace('.', '_')}" and then registered as a Tool with inputSchema built from the schema.
    tool_schemas = get_mcp_tools(profile=tool_profile, disabled=disabled_tools)
    tool_defs: list[Tool] = []
    
    for schema in tool_schemas:
        # Convert path to tool name: playbook.create -> spix_playbook_create
        tool_name = f"spix_{schema.path.replace('.', '_')}"
        tool_defs.append(
            Tool(
                name=tool_name,
                description=schema.description or f"Spix {schema.path}",
                inputSchema=build_json_schema(schema),
            )
        )
    
    @server.list_tools()
    async def list_tools() -> list[Tool]:
        return tool_defs
  • Helper that resolves the MCP tool name 'spix_playbook_clone' back to its CommandSchema by stripping the 'spix_' prefix and converting underscores to dots (e.g., 'playbook.clone') to look up in the registry.
    def get_schema_by_tool_name(tool_name: str) -> CommandSchema | None:
        """Look up a CommandSchema by MCP tool name.
    
        MCP tool names follow the pattern: spix_{path with dots replaced by underscores}
        e.g., "spix_playbook_create" -> "playbook.create"
    
        Args:
            tool_name: The MCP tool name (e.g., "spix_playbook_create").
    
        Returns:
            The matching CommandSchema, or None if not found.
        """
        # Remove the spix_ prefix
        if not tool_name.startswith("spix_"):
            return None
    
        path_part = tool_name[len("spix_") :]
    
        # Convert underscores back to dots for path lookup
        # We need to handle multi-part paths like "billing_credits_history" -> "billing.credits.history"
        # Try different dot positions to find the right one
        for cmd in COMMAND_REGISTRY:
            # Convert the command path to expected tool name format
            expected_tool = cmd.path.replace(".", "_")
            if expected_tool == path_part:
                return cmd
    
        return None
  • Helper that builds the final API endpoint URL by substituting path parameters (like {playbook_id}) from the schema's positional_args into the endpoint URL template (/playbooks/{playbook_id}/clone).
    def build_endpoint_url(schema: CommandSchema, arguments: dict) -> tuple[str, dict]:
        """Build the API endpoint URL with path parameters substituted.
    
        Args:
            schema: The command schema.
            arguments: The tool arguments.
    
        Returns:
            Tuple of (endpoint_url, remaining_arguments).
            Path parameters are removed from arguments and substituted into the URL.
        """
        endpoint = schema.api_endpoint
        remaining_args = dict(arguments)
    
        # Substitute path parameters
        for param in schema.positional_args:
            placeholder = f"{{{param.name}}}"
            if placeholder in endpoint and param.name in remaining_args:
                endpoint = endpoint.replace(placeholder, str(remaining_args.pop(param.name)))
    
        return endpoint, remaining_args
Behavior2/5

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

With no annotations, the description should disclose side effects or scope of cloning (e.g., whether associated rules, emotions, or voices are cloned). It only states 'clone' without behavioral details.

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?

A single, concise sentence that efficiently conveys the core action. No unnecessary words.

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?

Given the lack of output schema and annotations, the description should explain what gets cloned (e.g., rules, settings), but it does not. The tool likely has nuances that are omitted.

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 covers both parameters with descriptions. Baseline 3 applies as the description adds no extra meaning beyond what the input schema already provides.

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

Purpose5/5

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

The description explicitly states the action 'clone' and the resource 'existing playbook', providing clear purpose. It naturally distinguishes from sibling tools like spix_playbook_create or spix_playbook_update.

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?

No guidance on when to use clone versus other playbook tools. No mention of prerequisites such as needing the original playbook to exist, nor any alternatives for copying configurations.

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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